(2014-12-05) R/D voice INTER GmbH in Dresden , Germany
voice INTER connect GmbH with head office in Dresden, Germany, is a medium-sized enterprise with over 10 years experience in the field of embedded signal processing and speech control in electronic devices. For well-known customers we offer innovative high-tech products and customised development and integration services.
We are looking for a Research & Development Engineer with specialisation in the field of speech recognition to join our team at the next possible date.
Your Tasks
*Development, customisation and maintenance of our own products within the area of speech recognition
*Integration and customisation of third party speech technology
*Collaboration in projects concerning automatic speech recognition and speech to text
*Development and functional testing of algorithms in HMM- or FSM-based speech recognizers
*Evaluation of Large Vocabulary Continuous Speech Recognition Systems (LVCSR) and Client-Server-based speech recognition solutions
Your Profile
*Master-/PhD-degree in electrical engineering or computer science, specialisation speech communication
*Detailed knowledge of speech recognition architecture and technologies proved by a diploma or doctoral thesis in the area of speech technology
*Knowledge of the current literature and state of science and technology within the area of speech processing and speech recognition
*Excellent knowledge and experience in the programming languages C und C++ focused on audio and speech processing on PC and embedded environments (Windows, Linux, embedded operating systems)
*Knowledge of architecture, evaluation strategies, tools and quality criteria of LVCSR and client-server-based speech recognition solutions
*Experiences in dialogue design and NLU processing
*Preferably prior knowledge and deep interest in semantic processing and machine learning
*Preferably prior knowledge in customer-specific project work and team-oriented software development
*Very good skills in mathematics and physics
*Pleasure in transferring algorithms into practical solutions and in realisation of ambitious algorithmic tasks
*Pleasure in overcoming practical hurdles for speech technology like noise, reverberation and echoes
*Independence and initiative
*Creative, solution-oriented way of working and quick learner
We offer
At voice INTER connect you will find interesting opportunities for personal fulfilment in a growth-orientated, innovative company and a creative, highly motivated and open-minded team. Besides ambitious projects for international customers we offer the opportunity for further education by attending conferences, lectures and courses.
Your qualification and performance are rewarded by an appropriate remuneration.
If you are interested in joining our team, please apply via post or (preferred) e-mail:
voice INTER connect GmbH, Ammonstr. 35, 01067 Dresden or jobs@voiceinterconnect.de
(2014-12-06) Stage recherche M2 : Modèles connexionnistes pour la génération automatique dans le cadre de l'interaction vocale, LIA, Avignon, France
Stage recherche M2 : Modèles connexionnistes pour la génération automatique dans le cadre de l'interaction vocale
Durée : 6 mois Démarrage : février-mars 2015 Lieu : Laboratoire Informatique d'Avignon Encadrants: Bassam Jabaian, Stéphane Huet et Fabrice Lefèvre
Description du stage : Les systèmes d'interactions vocales utilisés dans des applications comme la réservation de billets d'avion ou d'hôtels, ou bien encore le dialogue avec un robot, font intervenir plusieurs composants. Parmi ceux-ci figurent le module de génération de texte qui produit la réponse du système en langue naturelle à partir d'une représentation sémantique interne créée par le gestionnaire de dialogue.
Les systèmes de dialogue actuels intègrent des modules de génération basés sur des règles écrites à la main à partir de patrons. ex : confirm(type=$U, food=$W,drinks=dontcare) ? Let me confirm, you are looking for a $U serving $W food and any kind of drinks right ?
Ces modules gagneraient à se baser sur des méthodes d'apprentissage automatique afin de faciliter la portabilité des systèmes de dialogue vers d'autres tâches et améliorer la diversité des échanges générés. Parmi les méthodes d'apprentissage automatique, figurent les réseaux de neurones qui ont vu un regain d'intérêt depuis l'utilisation du « deep learning ». Ces réseaux de neurones ont déjà été employés par Google dans une tâche similaire de génération de description d'images (http://googleresearch.blogspot.fr/2014/11/a-picture-is-worth-thousand-coherent.html). L'objectif de ce stage est d'étudier l'utilisation de ces modèles dans le cadre de l'interaction vocale.
Si un intérêt pour l'apprentissage automatique et le traitement de la langue naturelle est souhaitable, il est attendu surtout du stagiaire de bonnes capacités en développement logiciel.
(2014-12-06) 2 Post-doc positions at the Italian Institute of Technology.
New techniques for vision-assisted speech processing
BC: 69721 (draft) BC: 69724 (draft)
Istituto Italiano di Tecnologia (http://www.iit.it) is a private Foundation with the objective of promoting Italy's technological development and higher education in science and technology. Research at IIT is carried out in highly innovative scientific fields with state-of-the-art technology.
iCub Facility (http://www.iit.it/icub) and Robotics, Brain and Cognitive Sciences (http://www.iit.it/rbcs) Departments are looking for 2 post-docs to be involved in the H2020 project EcoMode funded by the European Commission under the H2020-ICT-2014-1 call (topic ICT-22-2014 – Multimodal and natural computer interaction).
Job Description: Robust automatic speech recognition in realistic environments for human-robot interaction, where speech is noisy and distant, is still a challenging task. Vision can be used to increase speech recognition robustness by adding complementary speech-production related information. In this project visual information will be provided by an event-driven (ED) camera. ED vision sensors transmit information as soon as a change occurs in their visual field, achieving incredibly high temporal resolution, coupled with extremely low data rate and automatic segmentation of significant events. In an audio-visual speech recognition setting ED vision can not only provide new additional visual information to the speech recognizer, but also drive the temporal processing of speech by locating (in the temporal dimension) visual events related to speech production landmarks.
The goal of the proposed research is the exploitation of highly dynamical information from ED vision sensors for robust speech processing. The temporal information provided by EDC sensors will allow to experiment with new models of speech temporal dynamics based on events as opposed to the typical fixed-length segments (i.e. frames).
In this context, we are looking for 2 highly motivated Post-docs, respectively tackling vision (Research Challenge 1) and speech processing (Research Challenge 2), as outlined herebelow:
Research Challenge 1 (vision @ iCub facility – BC 69721): the post-doc will mostly work on the detection of features from event-driven cameras instrumental for improving speech recognition (e.g. lips closure, protrusion, shape, etc…). The temporal features extracted from the visual signal will be used for crossmodal event-driven speech segmentation that will drive the processing of speech. In the attempt to increase the robustness to acoustic noise and atypical speech, acoustic and visual features will be combined to recover phonetic gestures of the inner vocal tract (articulatory features).
Research Challenge 2 (speech processing @ RBCS – BC 69724): the post-doc will mainly develop a novel speech recognition system based on visual, acoustic and (recovered) articulatory features, that will be targeted for users with mild speech impairments. The temporal information provided by EDC sensors will allow to experiment with new strategies to model the temporal dynamics of normal and atypical speech. The main outcome of the project will be an audio-visual speech recognition system that robustly recognizes the most relevant commands (key phrases) delivered by users to devices in real-word usage scenarios.
The resulting methods for improving speech recognition will be exploited for the implementation of a tablet with robust speech processing. Given the automatic adaptation of the speech processing to the speech production rhythm, the speech recognition system will target speakers with mild speech impairments, specifically subjects with atypical speech flow and rhythm, typical of some disabilities and of the ageing population. The same approach will then be applied to the humanoid robot iCub to improve its interaction with humans in cooperative tasks.
Skills: We are looking for highly motivated people and inquisitive minds with the curiosity to use a new and challenging technology that requires a rethinking of visual and speech processing to achieve a high payoff in terms of speed, efficiency and robustness. The candidates we are looking for should also have the following additional skills:
PhD in Computer Science, Robotics, Engineering (or equivalent) with a background in machine learning, signal processing or related areas;
ability to analyze, improve and propose new algorithms;
Good knowledge of C, C++ programming languages with proven experience.
Team-work, PhD tutoring and general lab-related activities are expected.
An internationally competitive salary depending on experience will be offered.
Please note that these positions are pending the signature of the grant agreement with the European Commission (expected start date in early 2015)
How to apply: Challenge 1: Send applications and informal enquires to jobpost.69721@icub.iit.itThis e-mail address is being protected from spambots. You need JavaScript enabled to view it Challenge 2: Send applications and informal enquires to jobpost.69724@rbcs.iit.itThis e-mail address is being protected from spambots. You need JavaScript enabled to view it
The application should include a curriculum vitae listing all publications and pdf files of the most representative publications (maximum 2) If possible, please also indicate three independent reference persons.
Presumed Starting Date: Challenge 1: January 2015 (but later starts are also possible). Challenge 2: June 2015 (but later starts are also possible). Evaluation of the candidates starts immediately and officially closes on November 10th, 2014, but will continue until the position is filled.
References: Lichtsteiner, P., Posch, C., & Delbruck, T. (2008). A 128×128 120 dB 15 μs latency asynchronous temporal contrast vision sensor. Solid-State Circuits, IEEE Journal of, 43(2), 566-576. Rea, F., Metta, G., & Bartolozzi, C. (2013). Event-driven visual attention for the humanoid robot iCub. Frontiers in neuroscience, 7. Benosman, R.; Clercq, C.; Lagorce, X.; Sio-Hoi Ieng; Bartolozzi, C., 'Event-Based Visual Flow,' Neural Networks and Learning Systems, IEEE Transactions on , vol.25, no.2, pp.407,417, Feb. 2014, doi: 10.1109/TNNLS.2013.2273537 Potamianos, G. Neti, C. Gravier, G. Garg, A. and Senior, A.W. (2003) “Recent Advances in the Automatic Recognition of Audiovisual Speech” in Proceedings of the IEEE Vol. 91 pp. 1306-1326 Glass, J. (2003)“A probabilistic framework for segment-based speech recognition”, Computer Speech and Language, vol. 17, pp. 137-152. Badino, L., Canevari, C., Fadiga, L., Metta, G. 'Deep-Level Acoustic-to-Articulatory Mapping for DBN-HMM Based Phone Recognition', in IEEE SLT 2012, Miami, Florida, 2012
The aim of the project is to provide new means to improve speech intelligibility of audio messages in the car environment, letting the user the possibility to tune the system to his/her own audition deficiency. In this context, the role of the PostDoc/researcher will consist in conducting forefront research in Speech processing and in directly participating to the project by building flexible software modules for speech intelligibility enhancement. The domain of speech enhancement mainly aims at suppressing the noise in noisy speech signals but does not in general significantly enhances speech intelligibility. In this project, we are mainly interested in enhancing intelligibility in noisy conditions taking into account specific hearing deficiencies. The developed approaches will then be at the crossroads of the domains of denoising and voice transformation.
*TELECOM ParisTech*
TELECOM ParisTech is the leading graduate School of Institut TELECOM with more than 160 research professors, 20 associated CNRS researchers and over 250 Engineering degrees, 50 PhD and 150 specialised masters (post graduates) awarded per year. The Audio, Acoustics and Waves research group (AAO) headed by Prof. Gaël Richard gathers 6 permanent staffs, 3 postDocs and over 12 PhD students. The group has developed a strong expertise in audio signal processing (source separation, indexing, Audio3D compression, dereverberation/denoising....). More information at http://www.tsi.telecom-paristech.fr/aao/en/
Candidate Profile
As minimum requirements, the candidate will have:
- A PhD in speech or audio signal processing, acoustics, machine learning, computer science, electrical engineering, or a related discipline.
- Some knowledge in speech signal processing.
- Good programming skills in Python or Matlab, C/C++.
The ideal candidate would also have:
- Solid knowledge of speech processing and voice transformation techniques.
- Ability to work in a multi-partner and national collaborative environment.
- Some knowledge of Max/MSP.
Contacts Interested applicants can contact Gaël Richard or Bertrand David for more information or directly email a candidacy letter including Curriculum Vitae, a list of publications and a statement of research interests.
- Gael Richard (Gael.Richard@telecom-Paristech.fr) ; +33 1 45 81 73 65
- Bertrand David (firstname.lastname@Telecom-ParisTech.fr).
(2014-12-06) PhD Position in Second Language Speech Segmentation at the University of Kansas
PhD Position in Second Language Speech Segmentation at the University of Kansas
The Second-Language Processing and Eye-Tracking (L2PET) lab, directed by Dr. Annie Tremblay, in the Department of Linguistics at the University of Kansas, invites applications for a Ph.D. position in second-language speech segmentation. This Ph.D. position includes 3 years of graduate research assistantship funded by an NSF research grant awarded to Dr. Tremblay and 2 years of graduate teaching assistantship provided by the Department of Linguistics.
Research in the L2PET lab focuses on second-language speech processing and spoken-word recognition using behavioral methods such as eye tracking, word monitoring, priming, and artificial language speech segmentation (for details, see https://sites.google.com/site/l2petlab/home). The NSF-funded research investigates the influence of the native language and of recent linguistic exposure on adult second language learners? use of prosodic cues, specifically pitch, in speech segmentation. Its aims are to determine how the similarities and differences between the native language and second language affect adult second language learners? ability to use prosodic cues in speech segmentation and whether the speech processing system is sufficiently adaptive to develop sensitivity to new segmentation cues (for details, see http://www.nsf.gov/awardsearch/showAward?AWD_ID=1423905&HistoricalAwards=false). This project is done in collaboration with scholars from The Netherlands, France, and South Korea.
Applicants should have a strong background in Linguistics, Psychology, Cognitive Science, or Speech and Hearing Sciences. Knowledge of Korean and experience with experimental research are strongly preferred. Questions about this position should be directed to Dr. Tremblay (atrembla@ku.edu). Applications should be submitted through the University of Kansas application system (https://linguistics.ku.edu/admission#tab2name). More information about admission requirements can be found at https://linguistics.ku.edu/admission. The deadline for applications is January 1st, 2015. Start date for this Ph.D. position is August 24th, 2015.
Linguistics at the University of Kansas
The Department of Linguistics at the University of Kansas has undergone significant changes in the past decade to position itself as a unique program that unites linguistic theory and experimental research. The department has particular strengths in experimental phonetics and phonology, first and second language acquisition, developmental psycholinguistics, second language psycholinguistics and neurolinguistics, the cognitive neuroscience of language, linguistic fieldwork, and theoretical syntax and semantics. Faculty members and graduate students study a broad range of languages including understudied language varieties in Asia, Africa, and the Americas. The department has six active research labs, which have all successfully competed for external funding and provide support for graduate studies. The department has both head-mounted and remote eye trackers, an EEG laboratory, and on the KU medical center campus, cortical MEG, fetal MEG, and MRI systems.
Intelligibilité de la parole : quelle mesure pour déterminer ------------------------------------------------------------- le degré de nuisance --------------------
Encadrants Irina Illina (LORIA) Patrick Chevret (INRS)
Adresse LORIA, Campus Scientifique - BP 239, 54506 Vandoeuvre-lès-Nancy} Tél : 03 54 95 84 9003 54 95 84 90 Bureau C147 au LORIA Email illina@loria.fr
Motivations ------------- L'intelligibilité de la parole signifie la capacité d'une conversation à être comprise par un auditeur situé à proximité. Le niveau d'intelligibilité de la parole dépend de plusieurs critères : le niveau de bruit ambiant, l'absorption éventuelle d'une partie du spectre sonore, les déformations acoustiques, les échos, etc. L'intelligibilité de la parole est utilisée pour évaluer les performances des systèmes de télécommunication, de sonorisation de salles, ou encore des personnes.
L'intelligibilité de la parole peux être évaluée : - de façon subjective : les auditeurs écoutent plusieurs mots ou phrases et répondent aux différentes questions (la transcription des sons, le pourcentage de consonnes perçues, etc.). Les scores obtenus constituent la valeur d'intelligibilité ; - de façon objective, sans faire appel aux auditeurs, en utilisant les mesures acoustiques : l'indice d'intelligibilité de la parole (Speech Transmission Index, STI), et le niveau d'interférence avec la parole.
Les mesures subjectives sont dépendantes des auditeurs et demandent un nombre important d'auditeurs. Cela est difficile à réaliser, surtout quand il y a différents types d'environnements et qu'il est nécessaire d'évaluer cette mesure pour chacun. Les mesures objectives ont l'avantage d'être quantifiables automatiquement et de façon précise. En revanche, jusqu'à quel point les mesures objectives permettent de mesurer la nuisance de l'environnement sur l'intelligibilité de la parole et sur la santé des gens, reste un problème ouvert. Par exemple, l'indice STI consiste à mesurer la modulation de l'énergie. Mais la modulation d'énergie peut être produite par les machines, pourtant cela ne correspond pas à la parole.
Sujet --------- Dans le cadre de ce stage, nous nous intéressons à l'étude de différentes mesures objectives d'intelligibilité de la parole. Le but est de trouver des mesures fiables pour évaluer le niveau de nuisance de l'environnement ambiant sur la compréhension de la parole, la santé mentale des personnes à long terme et leur productivité. Quelques pistes possibles : faire corréler la mesure de confiance de mots, la mesure de confiance de bruit et les mesures subjectives d'intelligibilité de la parole. Pour élaborer ces mesures, le système de reconnaissance automatique de la parole sera utilisé.
Ce stage sera effectué dans le cadre de la collaboration entre notre équipe Multispeech et l'INRS (Institut National de Recherche et de Sécurité). L'INRS travaille sur l'identification des risques professionnels, l'analyse de leurs conséquences sur la santé et leur prévention. INRS dispose d'un riche corpus d'enregistrements et de mesures subjectives d'intelligibilité de la parole. Ce corpus sera utilisé dans le cadre de ce stage. Notre équipe Multispeech possède une grande expertise en traitement du signal et a développé plusieurs méthodologies d'estimation de bruits et du niveau sonore. L'équipe Multispeech a développé le système complet de reconnaissance automatique de la parole.
Compétences demandées --------------------- Avoir de bonnes bases en statistique et en traitement du signal, maîtriser le langage de programmation C, la programmation orientée objet et le Perl.
(2014-12-10) MIT Postdoctoral Associate Opportunity,Cambridge, MA, USA
MIT Postdoctoral Associate Opportunity The Spoken Language Systems Group in the MIT Computer Science and Artificial Intelligence Laboratory is seeking a Postdoctoral Associate to participate in research and development of deep learning methods applied to the problems of multilingual speech recognition, dialect, and speaker recognition. This position is expected to start in early 2015 for a one-year period, with the possibility of extension. A Ph.D. in Computer Science or Electrical Engineering is required. Individuals must have at least four years of hands-on, computer-based experience in algorithm and system development in speech processing related to speech recognition, speaker or language recognition, and must have strong programming skills (especially, but not limited to C++, and Python) and familiarity with Linux environment. This individual must be able to work both independently, and cooperatively with others, and have good communication and writing skills. Interested candidates should send their CVs to Jim Glass, glass@mit.edu
(2014-12-12) 2 POSTDOC positions in Machine Learning for Machine translation, LIMSI, Orsay, France
2 POSTDOC positions in Machine Learning for Machine translation at LIMSI-CNRS, Orsay (Paris area), FRANCE
Two postdoctoral positions are available at LIMSI-CNRS. The positions are all one year, with possibilities of extension. We are seeking researchers with interests in machine learning applied to statistical machine translation, automatic speech recognition or computational linguistics.
Topics of interest include, but are not limited to: - Bayesian models for natural language processing - Multilingual topic models - Word Sense Disambiguation - Statistical Language Modeling - Speech translation
Candidates must have (almost) completed a Ph.D. in machine learning or natural language/speech processing and have a strong track record of successful implementation and publication in natural language processing or machine learning.
Please send your CV and/or further inquiries to François Yvon (yvon@limsi.fr).
Duration: 24 or 36 months, starting early 2015.
Application deadline: Open until filled
The successful candidates will join a dynamic research team working on various aspects of Statistical Machine Translation and Speech Processing. For information regarding our activities, see http://www.limsi.fr/Scientifique/tlp/mt/
About the LIMSI-CNRS: The LIMSI-CNRS lab is situated at Orsay, a green area 25 km south of Paris. A suburban train connects Orsay to Paris city center. Detailed information about the LIMSI lab can be found at http://www.limsi.fr
(2014-12-12) Internship at Orange Labs, Lannion, France
Stage : Exploration par mots clés de collections de documents multimedia
Contexte général :
Analyse automatique de la composante audio de contenus audiovisuels afin de proposer de nouvelles formes d?exploration dans ces contenus.
Missions du stage :
L?extraction non supervisée de mots-clés à partir d?une collection de contenus permet de faire ressortir les mots (ou expressions) pertinentes dans un contenu, relativement aux autres contenus de la collection. Des métriques de relations statistiques permettent en outre de mesurer un degré d?association entre deux mots dans la collection.
En s?appuyant sur un module existant permettant de réaliser ces deux processus d?extraction et de mise en relation de mots clés, l?objectif du stage est :
d?étudier un processus d?adaptation permettant de recalculer efficacement les statistiques d?une collection lorsqu?un nouveau contenu est ajouté à la collection
d?étudier dans quelle mesure l?exploitation d?un chapitrage peut permettre une analyse plus fine et une extraction de mots clés pertinents dans un chapitre d?une collection.
de proposer et comparer des méthodes d?évaluation objective des résultats obtenus
Equipe d?accueil :
L?équipe CONTENT/FAST d?Orange Labs a en charge des travaux de recherche et développement dans le domaine du Traitement Automatique des Langues (TAL) appliquée aux documents écrits et au texte issu du vocal (analyse sémantique, extraction d?information, requêtes en langage naturel, etc.), et dans le domaine des Bases de Connaissances.
Profil :
- Master 2 en Traitement Automatique des Langues ou Informatique
Orange Labs is the Research and Development division of Orange, the leading telecommunication company in France. The mission of the CRM&DA department (Customer Relationship Management & Data Analytics) is to invent new solutions to improve the company’s interactions with its customers by using data analysis techniques. You will be part of NADIA (Natural DIAlogue interaction), which is one of the teams composing CRM&DA and whose mission is to develop and maintain a human/machine dialogue solution, which is already widely used by customers.
Your mission:
Thanks to the recent improvements in the Automatic Speech Recognition (ASR) technology, research in the field of Spoken Dialogue Systems (SDSs) has been very active during the late few years. The main challenge is to design user initiative dialogue strategies where the user can use natural language to utter complex requests, with a lot of information, as opposed to system initiative ones, where the request is entered chunk by chunk. However, due to the user’s unfamiliarity with the system and the noise induced by the ASR module, the request captured by the system is often incomplete, hence rejected. The objective of this internship is to figure out solutions to detect whether a request is incomplete and not incorrect and if it is the case, to extract partial information. This will be later used by the Dialogue Manager module to ask the user to add missing information.
In addition, researchers in the field of SDSs are more and more interested in improving the system’s floor management capacities. Instead of adopting a walkie-talkie approach where each of the dialogue participants has to wait for the other to release the floor before processing his utterance and coming up with a response, incremental dialogue suggests that the listener processes the speaker’s utterance on the flow, hence being able to interrupt her. In this frame, the system processes growing partial requests, which is another application of the solutions that will be studied. Incremental dialogue capacities are crucial in the development of a new generation of dialogue systems, which are more human-like, more reactive and less error-prone.
Essential functions:
You will improve the current dialogue solution that is developed and maintained by our
team. For that, you will have to interact with researchers in the field as well as developers.
According to the quality of the solutions that will be proposed, your results can be published in
scientific conferences or lead to a patent.
Qualifications and skills:
- MSc in Computer Science or a related field.
- A specialisation in Natural Language Processing is very welcome.
- Object-Oriented Programming.
- Good background in applied mathematics: probability and statistics.
- Good English level.
- Interest in Human Machine Interaction and Artificial Intelligence.
- Team work.
If you want to be part of an innovative experience in a team of talented people with state of art
skills in the field, please submit your resume by email to hatim.khouzaimi@orange.com.
Motivations ----------------- L'intelligibilité de la parole signifie la capacité d'une conversation à être comprise par un auditeur situé à proximité. Le niveau d'intelligibilité de la parole dépend de plusieurs critères : le niveau de bruit ambiant, l'absorption éventuelle d'une partie du spectre sonore, les déformations acoustiques, les échos, etc. L'intelligibilité de la parole est utilisée pour évaluer les performances des systèmes de télécommunication, de sonorisation de salles, ou encore des personnes.
L'intelligibilité de la parole peux être évaluée : - de façon subjective : les auditeurs écoutent plusieurs mots ou phrases et répondent aux différentes questions (la transcription des sons, le pourcentage de consonnes perçues, etc.). Les scores obtenus constituent la valeur d'intelligibilité ; - de façon objective, sans faire appel aux auditeurs, en utilisant les mesures acoustiques : l'indice d'intelligibilité de la parole (Speech Transmission Index, STI), et le niveau d'interférence avec la parole.
Les mesures subjectives sont dépendantes des auditeurs et demandent un nombre important d'auditeurs. Cela est difficile à réaliser, surtout quand il y a différents types d'environnements et qu'il est nécessaire d'évaluer cette mesure pour chacun. Les mesures objectives ont l'avantage d'être quantifiables automatiquement et de façon précise. En revanche, jusqu'à quel point les mesures objectives permettent de mesurer la nuisance de l'environnement sur l'intelligibilité de la parole et sur la santé des gens, reste un problème ouvert. Par exemple, l'indice STI consiste à mesurer la modulation de l'énergie. Mais la modulation d'énergie peut être produite par les machines, pourtant cela ne correspond pas à la parole.
Sujet --------- Dans le cadre de ce stage, nous nous intéressons à l'étude de différentes mesures objectives d'intelligibilité de la parole. Le but est de trouver des mesures fiables pour évaluer le niveau de nuisance de l'environnement ambiant sur la compréhension de la parole, la santé mentale des personnes à long terme et leur productivité. Quelques pistes possibles : faire corréler la mesure de confiance de mots, la mesure de confiance de bruit et les mesures subjectives d'intelligibilité de la parole. Pour élaborer ces mesures, le système de reconnaissance automatique de la parole sera utilisé.
Ce stage sera effectué dans le cadre de la collaboration entre notre équipe Multispeech et l'INRS (Institut National de Recherche et de Sécurité). L'INRS travaille sur l'identification des risques professionnels, l'analyse de leurs conséquences sur la santé et leur prévention. INRS dispose d'un riche corpus d'enregistrements et de mesures subjectives d'intelligibilité de la parole. Ce corpus sera utilisé dans le cadre de ce stage. Notre équipe Multispeech possède une grande expertise en traitement du signal et a développé plusieurs méthodologies d'estimation de bruits et du niveau sonore. L'équipe Multispeech a développé le système complet de reconnaissance automatique de la parole.
Compétences demandées --------------------- Avoir de bonnes bases en statistique et en traitement du signal, maîtriser le langage de programmation C, la programmation orientée objet et le Perl.
(2015-01-05) Proposition de post-doc au LORIA (Nancy, France)
Proposition de post-doc au LORIA (Nancy, France)
Reconnaissance automatique de la parole : contextualisation du modèle de langage par ajustement dynamique
Cadre du projet ANR ContNomina
Les technologies impliquées dans la recherche d?informations dans de grandes bases de données audio/vidéo reposent le plus souvent sur l'analyse de grands corpus fermés et sur des techniques d'apprentissage automatique et de modélisation statistique du langage écrit ou oral. L'efficacité de ces approches est maintenant unanimement reconnue mais elles présentent néanmoins des défauts majeurs, en particulier pour la prise en charge des noms propres, qui sont cruciales pour l'interprétation des contenus.
Dans le cadre des données diachroniques (qui évoluent dans le temps) de nouveaux noms propres apparaissent continuellement ce qui nécessite de gérer dynamiquement les lexiques et modèles de langage utilisés par le système de reconnaissance de la parole.
En conséquence, le projet ANR ContNomina (2013-2017) se concentre sur le problème des noms propres dans les systèmes de traitement automatique des contenus audio en exploitant au mieux le contexte des documents traités. Pour ce faire, le sujet de ce post-doc se focalisera sur la contextualisation de la reconnaissance à travers l?ajustement dynamique du modèle de langage de manière à le rendre plus précis.
Sujet du post-doc
On dispose du modèle de langage du système reconnaissance (n gram appris d?un grand corpus de texte). Le problème est d?estimer la probabilité d?un mot ajouté en fonction de son contexte. Plusieurs pistes pourront être explorées: adapter le modèle de langage, utiliser un modèle de classe ou étudier la notion d?analogie.
Notre équipe a développé un système complet de reconnaissance automatique de la parole permettant de transcrire une émission de radio à partir du fichier audio correspondant. Le post-doctorant devra développer un nouveau module dont la fonction est d?intégrer de nouveaux noms propres dans le modèle de langage.
Compétences demandées
Avoir obtenu une thèse en TAL (Traitement Automatique des Langues), être familier avec les outils de reconnaissance automatique de la parole, avoir de bonnes bases en statistiques et maîtriser les langages de programmation C et Perl.
Durée
Environ 12 mois, début durant 2014 (la date de début est flexible)
Envoyer par mail un CV détaillé avec une liste de publications, diplômes et une lettre de motivations
Post-doc position at LORIA (Nancy, France)
Automatic speech recognition: contextualisation of the language model by dynamic adjustment
Framework of ANR project ContNomina
The technologies involved in information retrieval in large audio/video databases are often based on the analysis of large, but closed, corpora, and on machine learning techniques and statistical modeling of the written and spoken language. The effectiveness of these approaches is now widely acknowledged, but they nevertheless have major flaws, particularly for what concern proper names, that are crucial for the interpretation of the content.
In the context of diachronic data (data which change over time) new proper names appear constantly requiring dynamic updates of the lexicons and language models used by the speech recognition system.
As a result, the ANR project ContNomina (2013-2017) focuses on the problem of proper names in automatic audio processing systems by exploiting in the most efficient way the context of the processed documents. To do this, the postdoc student will address the contextualization of the recognition module through the dynamic adjustment of the language model in order to make it more accurate.
Post-doc subject
The language model of the recognition system (n gram learned from a large corpus of text) is available. The problem is to estimate the probability of a new proper name depending on its context. Several tracks will be explored: adapting the language model, using a class model or studying the notion of analogy.
Our team has developed a fully automatic system for speech recognition to transcribe a radio broadcast from the corresponding audio file. The postdoc will develop a new module whose function is to integrate new proper names in the language model.
Required skills
A PhD in NLP (Natural Language Processing), be familiar with the tools for automatic speech recognition, background in statistics and computer program skills (C and Perl).
Post-doc duration
12 months, start during 2014 (these is some flexibility)
(2015-01-08) Senior Research Engineer at Dolby, Beijing, China
Senior Research Engineer
(Multimedia System and Algorithm Research)
Overview
Join the leader in entertainment innovation and help us design the future. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you’ll see and hear the results of your work everywhere, from movie theaters to smartphones. We continue to revolutionize how people create, deliver, and enjoy entertainment worldwide. To do that, we need the absolute best talent, including insatiably curious engineers and scientists for our advanced technology group. We’re big enough to give you all the resources you need, and small enough so you can make a real difference and earn recognition for your work. We offer a collegial culture, challenging projects, and excellent compensation and benefits.
This position is in the Research Organization of Dolby Laboratories (www.dolby.com) and is located in Beijing, China. The position focuses on the research and development of cutting edge multimedia systems and algorithms with a focus on audio. These systems are researched and designed to enable the next generation of media playback on smart phones, tablets, PCs, televisions; they will provide the technologies powering both next generation streaming technologies and cinema systems.
The Beijing Research team applies and uses a broad range of disciplines including audio and speech technologies, machine learning, information theory, computer science, and applied mathematics. The research work is performed in small teams consisting of researchers with different backgrounds. Most project involve global cooperation with Dolby’s other Research teams in North America, Europe, and Australia.
The research engineer position focuses on the research and development of core technologies laying the foundation for Dolby’s future commercial success. It requires a strong analytic mindset, an ability to quickly learn new, highly innovative multimedia technologies, and outstanding programming skills allowing to rapidly implements theoretical concepts into research prototypes. As a part of an international team, the research engineer will work on ideas exploring new horizons in multimedia technologies and delivery systems.
Your possible background
We are looking for a self-motivated, highly talented and highly accomplished individual that has demonstrated his/her ability to perform innovative research and is interested in applying his/her computer science skills to research novel and cutting-edge multimedia technologies. This position does not require an in-depth understanding of audio technologies and signal processing. The ideal candidate has done some multimedia related in academic or industrial research environment and has a strong interest to learn more about multimedia. The position requires advanced knowledge of theory and applications of techniques from theoretical computer science, search algorithms, and world-class programming skills. Very solid mathematical skills are a must.
(2015-01-15) Senior Research Engineer at Dolby Labs, Beijing, China
Senior Research Engineer
(Multimedia System and Algorithm Research)
Overview
Join the leader in entertainment innovation and help us design the future. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you’ll see and hear the results of your work everywhere, from movie theaters to smartphones. We continue to revolutionize how people create, deliver, and enjoy entertainment worldwide. To do that, we need the absolute best talent, including insatiably curious engineers and scientists for our advanced technology group. We’re big enough to give you all the resources you need, and small enough so you can make a real difference and earn recognition for your work. We offer a collegial culture, challenging projects, and excellent compensation and benefits.
This position is in the Research Organization of Dolby Laboratories (www.dolby.com) and is located in Beijing, China. The position focuses on the research and development of cutting edge multimedia systems and algorithms with a focus on audio. These systems are researched and designed to enable the next generation of media playback on smart phones, tablets, PCs, televisions; they will provide the technologies powering both next generation streaming technologies and cinema systems.
The Beijing Research team applies and uses a broad range of disciplines including audio and speech technologies, machine learning, information theory, computer science, and applied mathematics. The research work is performed in small teams consisting of researchers with different backgrounds. Most project involve global cooperation with Dolby’s other Research teams in North America, Europe, and Australia.
The research engineer position focuses on the research and development of core technologies laying the foundation for Dolby’s future commercial success. It requires a strong analytic mindset, an ability to quickly learn new, highly innovative multimedia technologies, and outstanding programming skills allowing to rapidly implements theoretical concepts into research prototypes. As a part of an international team, the research engineer will work on ideas exploring new horizons in multimedia technologies and delivery systems.
Your possible background
We are looking for a self-motivated, highly talented and highly accomplished individual that has demonstrated his/her ability to perform innovative research and is interested in applying his/her computer science skills to research novel and cutting-edge multimedia technologies. This position does not require an in-depth understanding of audio technologies and signal processing. The ideal candidate has done some multimedia related in academic or industrial research environment and has a strong interest to learn more about multimedia. The position requires advanced knowledge of theory and applications of techniques from theoretical computer science, search algorithms, and world-class programming skills. Very solid mathematical skills are a must.
(2015-01-18) Post-doc position at LORIA (Nancy, France)
Post-doc position at LORIA (Nancy, France)
Automatic speech recognition: contextualisation of the language model by dynamic adjustment
Framework of ANR project ContNomina
The technologies involved in information retrieval in large audio/video databases are often based on the analysis of large, but closed, corpora, and on machine learning techniques and statistical modeling of the written and spoken language. The effectiveness of these approaches is now widely acknowledged, but they nevertheless have major flaws, particularly for what concern proper names, that are crucial for the interpretation of the content.
In the context of diachronic data (data which change over time) new proper names appear constantly requiring dynamic updates of the lexicons and language models used by the speech recognition system.
As a result, the ANR project ContNomina (2013-2017) focuses on the problem of proper names in automatic audio processing systems by exploiting in the most efficient way the context of the processed documents. To do this, the postdoc student will address the contextualization of the recognition module through the dynamic adjustment of the language model in order to make it more accurate.
Post-doc subject
The language model of the recognition system (n gram learned from a large corpus of text) is available. The problem is to estimate the probability of a new proper name depending on its context. Several tracks will be explored: adapting the language model, using a class model or studying the notion of analogy.
Our team has developed a fully automatic system for speech recognition to transcribe a radio broadcast from the corresponding audio file. The postdoc will develop a new module whose function is to integrate new proper names in the language model.
Required skills
A PhD in NLP (Natural Language Processing), be familiar with the tools for automatic speech recognition, background in statistics and computer program skills (C and Perl).
Post-doc duration
12 months, start during 2014 (these is some flexibility)
(2015-01-20) Full-time two-year postdoctoral position at University Paris Diderot
Université Paris Diderot – Paris 7, laboratoire CLILLAC-ARP (EA 3967) invites applications for a full-time two-year postdoctoral position within the ANR-DFG funded project 'Paths to Phonological Complexity: Onset clusters in speech production, perception, and disorders'. The project is a cross-linguistic study into the nature of preferred patterns in speech production, their perception and their manifestation in disordered speech. A particular focus is on how prosodic differences between languages may interact with motor learning, and the emergence and plasticity of phonotactic patterns. The project is conducted in close collaboration with the German partner team. (German PI: Dr. Marianne Pouplier, LMU, Munich; French PI: Ioana Chitoran, Paris Diderot, Paris). The salary is set according to the French pay scale for postdoctoral researchers: 90,172 euros for two years. Responsibilities: - designing and implementing speech perception experiments - statistical analysis - preparing journal publications - international conference presentations - coordination of the German-French collaboration Requirements: - completed PhD in Phonetics, Linguistics, Psycholinguistics, or a related field - track record of published research commensurate with experience - solid knowledge of experimental phonetics, primarily speech perception. The perception experiments in this project are closely integrated with articulatory (EMA) production studies. For this reason, the ideal candidate should have a strong interest in studying how articulation and perception interact. Some experience with articulatory data is a plus. - solid knowledge of statistical analysis - strong interest in the phonetics-phonology interface - good programming skills - very good oral and written knowledge of English. A working knowledge of French is a plus.
Université Paris Diderot is an equal opportunity employer. Please email your complete application as a single pdf, including one publication and the contact information of two referees to ioana.chitoran@univ-paris-diderot.fr Application deadline: 1 March 2015 For further information contact Dr. Ioana Chitoran ioana.chitoran@univ-paris-diderot.fr
(2015-01-20) Two year postdoc position at Aix-Marseille University (France)
Two year postdoc position at Aix-Marseille University (France) in multimodal video recommendation
Application deadline: 01/31/2015 Starting: as soon as possible.
Description: The ADNVIDEO project, funded in the framework of A*MIDEX (http://amidex.univ-amu.fr/en/home), aims at extending multimodal analysis models. It focuses on jointly processing audio, speech transcripts, images, scenes, text overlays and user feedback. Using as starting point the corpus, annotations and approaches developed during the REPERE challenge (http://defi-repere.fr), this project aims at going beyond indexing at single modalities by incorporating information retrieval methods, not only from broadcast television shows, but more generally on video documents requiring multimodal scene analysis. The novelty here is to combine and correlate information from different sources to enhance the description of the content. The application for this project relates to the issue of recommendation applied to videos: given a video, the system has to find documents (text, image, and video) related to this video, either on the surface level or the meaning level. In particular, the use case considered may have, in terms of technology transfer, significant economic benefits regarding automatic ad targeting: automatically find the most relevant advertisement with respect to the content of a video.
Objectives: The candidate will participate in the development of a prototype for video recommendation, leading to a technology transfer towards business:
- Extraction of multimodal high-level descriptors (semantic-oriented descriptors). These semantic-oriented descriptors are extracted from low-level descriptors, especially from text transcripts. * Extract concepts (conceptualization) from the transcript of the audio. & Detection of semantic chapters by aggregation of concepts extracted shot/scenewise * Detection and extraction of sentiments and emotions - Aggregation of multimodal descriptors to form the multimodal footprint of a video. - Matching videos and promotional material using recommendation approaches - Validation of the video recommendation prototype. - Participation to the scientific life of the lab, including paper publication.
The allocation of the tasks can be adjusted depending on the wishes and skills of the candidate.
Skills: For this project, we are looking for one candidate with a PhD degree in the areas of information retrieval, natural language processing, machine learning: - Strong programming skills (C++, Java, Python...). - Desire to produce functioning end-to-end systems, life-scale live demos - Scientific rigor - Imagination - Top notch publications - Excellent communication skills - Enjoy teamwork Candidates must presently work outside of France.
Candidates should email a letter of application, a detailed CV including a complete list of publications, and source code showcasing programming skills.
(2015-01-22) Internship: Sous-titrage automatique de parole dans une 'smart clas ' pour l'accessibilité des personnes sourdes, Laboratoire d'Informatique de Grenoble,France
Titre : Sous-titrage automatique de parole dans une 'smart class' pour l'accessibilité des personnes sourdes
Mots-clés : Reconnaissance automatique de la parole, surdité, Communication améliorée et alternative, accessibilité, smart space. Durée du projet : 4/5/6 mois Nombre maximal d'étudiants : 1 ou 2
Lieu du stage : Laboratoire d'Informatique de Grenoble, UMR CNRS 5217, 110 av. de la Chimie - Domaine Universitaire de Saint-Martin-d?Hères
Description
Le but de ce projet est de mettre en place un système de reconnaissance automatique de la parole pour le sous-titrage en direct de cours académiques. Ce système s'adresserait en priorité aux personnes sourdes pour remédier aux difficultés d'accessibilité au discours en français oral de l'enseignant et pour favoriser ainsi l'accès à l'enseignement supérieur de ce public. En complément à la réalisation du système de sous-titrage, le projet comporte la réalisation d'une interface de communication pour permettre à une personne sourde, de poser des questions ou faire des remarques pendant le déroulement du cours. La surdité ayant des implications communicatives fortes, notamment concernant l'accès à la langue française dans ses dimensions orales mais également écrites. Une adaptation aux besoins des utilisateurs sourds des sous-titrages fera partie intégrante du projet. A terme, d'autres applications pourraient également être envisagées : public FLS/FLE notamment pour lesquels le suivi de cours en langue française orale peut poser difficulté.
Le déroulement du stage consistera à : - étude bibliographique des solutions existantes et des besoins spécifiques aux personnes sourdes - prise en main du système de reconnaissance vocale automatique KALDI - prise en main du système d'analyse sonore Cirdox - tests sur des corpus enregistrés - connexion des sorties de reconnaissance à un système de sous-titrage - tests en-ligne - tests dans la 'smart class' avec un professeur et des étudiants - si le temps le permet, étude de réalisation d'interface d'interaction.
Profil du candidat : - Master/Ingénieur en Informatique, télécommunication ou traitement du signal - Intérêt avéré pour les technologies vocales et ou la Communication améliorée et alternative - Maîtrise du langage C impérative, connaissance de Linux. - Esprit d'équipe, ouverture et autonomie
Références
[1] D. Povey, A. Ghoshal, G. Boulianne, L. Burget, O. Glembek, N. Goel, M. Hannemann, P. Motlicek, Y. Qian, P. Schwarz, J. Silovsky, G. Stemmer and K. Vesely. The Kaldi Speech Recognition Toolkit, Idiap-RR-04-2012 [2] B. Lecouteux, G. Linares, and S. Oger. Integrating imperfect transcripts into speech recognition systems for building high-quality corpora. Computer Speech and Language, 2011. [3] F. Aman, M. Vacher, S. Rossato, R. Dugheanu, F. Portet, J. Le Grand, Y. Sasa. Étude de la performance des modèles acoustiques pour des voix de personnes âgées en vue de l'adaptation des systèmes de RAP. JEP-TALN-RECITAL 2012, volume 1: JEP, Jun 2012, Grenoble, France. ATALA/AFCP, pp.707--714.
Sujet de stage / thèse : Apprentissage dynamique de caractéristiques par champs aléatoires conditionnels pour la détection des sentiments dans les conversations téléphoniques
LIEU: Telecom ParisTech, 37 rue Dareau, 75014 Paris
Date de début du stage : début 2015
Financement de thèse de doctorat garanti
ÉQUIPE(S) D?ACCUEIL DE LA THÈSE :
département TSI, équipe MultiMedia (MM),
département TSI, équipe Audio Acoustique et Ondes (AAO)
MOTS CLÉS: analyse des sentiments, opinion mining, machine learning, champs aléatoires conditionnels, traitement automatique des langues, traitement de la parole
SUJET:
Le domaine du sentiment analysis et de l?opinion mining est un domaine en plein essor avec l?arrivée en masse de données textuelles sur le web comportant des expressions d?opinions par les citoyens (critiques de films, débats sur les commentaires de forums, tweets) [14]. Les recherches en traitement automatique des langues se mobilisent sur le développement de méthodes de détection d?opinions dans les textes en s?appuyant sur ces nouvelles ressources. Cependant, le problème de la détection des opinions et des sentiments se limite souvent a? un proble?me de classification sur les axes de valence (positif, ne?gatif) et d?intensite? [11]. De plus, l?analyse des sentiments dans la parole est un proble?me jusqu?ici peu e?tudie? et qui ne?cessite la prise en compte non seulement des spe?cificite?s langagie?res de l?oral et des erreurs des syste?mes de reconnaissance mais aussi l?inte?gration des caracte?ristiques prosodiques dans le contexte verbal. Enfin, les méthodes classiquement développées dans le domaine de la fouille d?opinions ne s?attaquent pas a? la question du temps de de?tection, question essentielle dans le cadre de l?analyse des centres d?appels qui requiert non seulement une détection en ligne pour lever des alertes mais aussi une fouille des données pour une meilleure connaissance client.
Le sujet de stage porte sur le développement de méthodes d'analyse des sentiments dans des conversations téléphoniques. Le stagiaire pourra s?appuyer sur la the?orie de l?appraisal adapte?e au contenu verbal telle que de?finie par les psycho-linguistes dans [8] pour construire les mode?les computationnels de de?tection d?expressions e?valuatives. Pour ces derniers, des me?thodes de mode?lisation hybrides (apprentissage de caractéristiques piloté par des connaissances a priori) a? base de CRF (Conditional Random Fields ou champs ale?atoires conditionnels) pourront être développées. Ces mode?les sont couramment utilise?s dans le domaine du Traitement Automatique du Langage pour l?analyse morpho-syntaxique ou pour la de?tection d?entite?s nomme?es mais sont encore tre?s rarement et partiellement utilise?s dans le contexte de l?analyse des sentiments. Ils sont adapte?s a? la pre?diction de donne?es structure?es et sont de nature discriminative ce qui leur procure une capacite? a? exploiter un tre?s grand nombre de fonctions d?observation (feature functions). Une des originalite?s du stage consistera ainsi a? repre?senter par des fonctions d?observation les règles sémantiques habituellement utilise?es pour les tâches qui nous concernent afin de les valider par un apprentissage a? partir des donne?es. Cet apprentissage permettra a? la fois de de?terminer la façon optimale de combiner les re?gles conside?re?es (notamment par l?emploi de noyaux ou kernels), et de re?aliser une se?lection automatique des plus pertinentes (en munissant les CRF de me?canismes de se?lection de caracte?ristiques).
REFERENCES :
[1] C. Clavel, G. Adda, F. Cailliau, M. Garnier-Rizet, A. Cavet, G. Chapuis, S. Courcinous,
C. Danesi, A. Daquo, M. Deldossi, et al. Spontaneous speech and opinion detection: mining call-centre transcripts. Language Resources and Evaluation, pages 1?37, 2012.
[2] C. Clavel, C. Pelachaud, and M. Ochs. User?s sentiment analysis in face-to-face humanagent interactions - prospects. In Workshop on Affective Social Signal Computing, Satellite of Interspeech, Grenoble, August 2013, 2013.
[3] C. Clavel, I. Vasilescu, L. Devillers, G. Richard, and T. Ehrette. Fear-type emotion recognition for future audio-based surveillance systems. Speech Communication, 50(6):487?503, 2008.
[4] C. Joder, S. Essid, and G. Richard. A conditional random field viewpoint of symbolic audiotoscore matching. In ACM Multimedia 2010, Florence, Italy, October 2010.
[5] C. Joder, S. Essid, and G. Richard. A conditional random field framework for robust and scalable audio-to-score matching. IEEE Transactions on Audio, Speech and Language Processing, 19(8):2385 ? 2397, November 2011.
[6] C. Joder, S. Essid, and G. Richard. Learning optimal features for polyphonic audio-to-score alignment. IEEE Transactions on Audio, Speech, and Language Processing, 21(10):2118?2128, 2013.
[7] R. Lavalley, C. Clavel, and P. Bellot. Extraction probabiliste de chaînes de mots relatives à une opinion. Traitement Automatique des Langues, 2010.
[8] J.R. Martin and P.R.R. White. The language of evaluation. Palgrave Macmillan Basingstoke and New York, 2005.
[9] G. McKeown and M. Valstar. The SEMAINE Database: Annotated Multimodal Records of Emotionally Colored Conversations between a Person and a Limited Agent. IEEE Transactions on Affective Computing, 3(1):5?17, 2012.
[10] Vinciarelli, A., Pantic, M., & Bourlard, H. (2009). Social signal processing: Survey of an emerging domain. Image and Vision Computing, (November 2008).
[11] Tsytsarau, M., & Palpanas, T. (2012). Survey on mining subjective data on the web. Data Mining and Knowledge Discovery.
[12] M. Ochs, Y. Ding, N. Fourati, M. Chollet, B. Ravenet, F. Pecune, N. Glas, K. Prépin, C. Clavel et C. Pelachaud, Vers des Agents Conversationnels Animés Socio-Affectifs, Interaction Humain-Machine (IHM'13), November 2013, Bordeaux, France
[13] Magalie Ochs et Catherine Pelachaud, Socially Aware Virtual Characters: The Social Signal of Smiles, IEEE Signal Processing Magazine, Vol 30 (2), p. 128-132, March 2013
[14] El-Bèze, M., Jackiewicz, A., & Hunston, S. (2010). Opinions, sentiments et jugements d?évaluation. Traitement Automatique Des Langues, 51(3)
PROFIL DU CANDIDAT: étudiant titulaire d?un master 2 recherche
- Apprentissage statistique / reconnaissance des formes
- Traitement de la parole, traitement du langage naturel
- Bon niveau en programmation (Java, C/C++, Python)
(2015-01-25) Announcement for 1 PhD and 4 postdoctoral students at CentraleSupélec, Paris
Announcement for 1 PhD and 4 postdoctoral students in mathematical/statistical tools for machine learning and signal processing at the LANEASgroup (Mérouane Debbah, Romain Couillet) of CentraleSupélec in Paris.
* 1 PhD student:- 1 position in random matrix theory for machine learning/big data. The student must have a strong background in mathematics and in particular probability theory/statistics, and may have some basic knowledge about machine learning and signal processing. Starting date: up to September 2015
.* 4 Postdoc positions:
- 1 position in random matrix theory for wireless communications. This position, attached to a contract with Huawei, requires a student knowledgeable of RMT and wireless communications. The work will be on several considerations of multi-user MIMO communications.
Starting date: as soon as possible
- 1 position at Supélec/Telecom ParisTech in random matrix theory in non Hermitian settings. This position is attached to an ANR program. Here a math expert in the domain is expected. No specific knowledge about application fields is required.
Starting date: as soon as possible but no later than September 2015.
- 2 positions in machine learning or large dimensional
statistics/signal processing at large. These positions are open to students with large autonomy
on the aforementioned topics. Their work will be to hold a leading position in the LANEAS
group and will involve supervision of PhD students and interns in their dedicated fields.
Strong mathematical background is demanded. Areas of expertise may cover, non exhaustively,
distributed optimization, game theory, random matrix theory, compressive sensing, stochastic
geometry, distributed caching, wireless networks, etc. The position is atatched to an ERC program
Starting date: as soon as possible.
The advisors will be Prof. Romain COUILLET and Prof. Mérouane DEBBAH, at CentraleSupélec(and Prof. Walid HACHEM at Telecom ParisTech for postdoc position 2). Collaborations with Telecom ParisTech, University of Marne la Vallée, and ENS Ulm will be made in the course of the projects.
Romain Couillet Assistant Professor CentraleSupelec 3, rue Joliot-Curie 91192 Gif sur Yvette, France (+33) 169 851 436(+33) 169 851 436 http://couillet.romain.perso.sfr.fr
(2015-01-31) Offre stage M2R au LIMSI/CNRS, Orsay, F
Offre stage M2R au LIMSI/CNRS : Segmentation du flux de parole pour sa traduction automatique
Thème : Traduction et apprentissage automatique Lieu : Groupe TLP , LIMSI-CNRS, Orsay Durée : 5 mois [Avril-Septembre 2015] Gratifications : environ 500 euros par mois Contacts : Hélène Maynard, François Yvon [prenom.nom@limsi.fr]
Internship on inference of high level semantics from prosodic features.
The Idiap speech group works on many aspects of speech processing, including recognition and synthesis for the purpose of speech to speech translation. Recently, much of our work is in the area of speech prosody. Prosody is often ignored in speech recognition, but is vital for synthesis. To this end, we are developing models of prosody that lend themselves to automatic extraction, translation and synthesis of speech.
Prosody is also a communicative device in itself; it can infer meaning in words, can convey emotion and affect, and is indicative of personality. It is the latter of these that defines the general direction of the current project.
The successful candidate will begin with standard models of prosody and attempt to infer higher level semantics. We intend to compare representations of prosody for such inference, and investigate which representations are appropriate for which semantics, hence which semantics can be inferred. Possible tools include the usual array of speech processing methods such as Markov models, and machine learning approaches such as neural networks and support vector machines.
The candidate should have strong programming skills, ideally familiarity with Python or C++. An analytic background in computer science or engineering is desirable. All our speech work is multi-lingual; to this end, in addition to English, the candidate would benefit from knowledge of another European or Slavic language. Some knowledge of French is an advantage but not a requirement.
The application deadline is March 31st 2015; however, the position will be filled as soon as possible. The appointment is for 6 months. Interns receive a 'stipend' of 2000 CHF per month.
(2015-02-27) 5 fully-funded PhD positions at the University of Freiburg, Germany
The research training group DFG GRK 1624 'Frequency effects in language' at the University of Freiburg, Germany, is advertising for 5 fully-funded PhD positions starting October 1, 2015.
(2015-02-22) POSTDOC POSITION AT RADBOUD UNIVERSITY NIJMEGEN, THE NETHERLANDS
POSTDOC POSITION AT RADBOUD UNIVERSITY NIJMEGEN
Postdoc Speech Researcher
Your Task
Within the FAME! project (Frisian Audio Mining Enterprise) we have a vacancy for a post-doctoral researcher. FAME! is a project in the Creative Industry program of the Netherlands Organisation for Scientific Research. The goal of the project is to develop Automatic Speech Recognition (ASR) for Frisian, for the purpose of disclosing an archive of over 2500 hours of radio broadcasts. The challenge is to make a single system that can deal with both Frisian and Dutch. The candidate will research methods to bootstrap Frisian ASR from other languages, and will investigate the issue of code-switching. A second research area is longitudinal automatic speaker recognition, in order to track speakers over almost half a century of radio broadcasts, for which new approaches for compensation of ageing need to be developed.
The project is carried out in co-operation with several other project partners in The Netherlands, most notably the Fryske Akademy, and we require that the candidate can work well with other (remote) team members, taking a lead when appropriate but also contributing to tasks of other team members.
The research will need to be documented in scientific publications in appropriate journals and relevant conference proceedings, and in Open Source software tools.
Your Profile
We are looking for candidates with the following profile:
A PhD in Engineering, Computer Science, Machine Learning, Signal Processing, Computational Linguistics or any other relevant discipline.
Preferably experience in speech technology
A good publication record
Fluency in spoken and written English
Good comprehension capabilities of scientific papers
Experience in the Linux OS, git version control, scripting in Python and bash, high performance computing in Julia or Num/SciPy, authoring in LaTex, and cluster computing
Affinity with the open source community
The drive to work with other project partners, also on location.
Position
3 years contract at the Center for Language and Speech Technology (CLST), 0,7 - 1,0 fte
Scale 11, max. monthly gross salary €4551 at full time appointment
Interested?
Send your motivation letter and CV ultimately 15 March 2015 to:
(2015-02-26) Maîtres de Conférences en Informatique, Laboratoire CRIStAL de Lille, France
Plusieurs postes de Maîtres de Conférences en Informatique sont à pourvoir au sein du laboratoire CRIStAL de Lille (www.cristal.univ-lille.fr) dont un à l'Université Lille 1 (www.univ-lille1.fr)
Les profils recherche s'inscrivent dans celles du groupe thématique 'Data Intelligence' du laboratoire et les thèmes suivants seront particulièrement considérés : - Apprentissage par renforcement / imitation - Décisions séquentielles - Systèmes de dialogue parlé homme-machine - Interaction homme-machine, homme-robot ou homme-avatar - Traitement de la parole et du langage pour l'interaction
La fiche pour le premier poste se trouve ici : http://www.univ-lille1.fr/digitalAssets/40/40200_FSES_27_MCF_1151_CRIStAL.pdf
Les autres postes ont des profils recherche similaires et seront publiés le 26 février.
Contacts : Philippe Preux (philippe.preux@univ-lille3.fr) (animateur du groupe thématique Data Intelligence) Olivier Pietquin (olivier.pietquin@univ-lille1.fr)
(2015-03-02) Language Resources Project Manager - Junior at ELDA-ELRA
The European Language resources Distribution Agency (ELDA), a company specialized in Human Language Technologies within an international context, acting as the distribution agency of the European Language Resources Association (ELRA), is currently seeking to fill an immediate vacancy for a Language Resources Project Manager ? Junior position. This yields excellent opportunities for young, creative, and motivated candidates wishing to participate actively to the Language Engineering field.
Language Resources Project Manager - Junior
Under the supervision of the Language Resources Sales Manager, the Language Resources Project Manager ? Junior will be in charge of the identification of Language Resources (LRs) and the negotiation of rights in relation with their distribution.
The position includes, but is not limited to, the responsibility of the following tasks: ? Identification of LRs and Cataloguing ? Negotiation of distribution rights, including interaction with LR providers, drafting of distribution agreements, definition of prices of language resources to be integrated in the ELRA catalogue ? LR Packaging and Archiving
Profile: ? University degree or equivalent in computational linguistics, information science, knowledge management or similar fields ? Experience in project management (especially European projects), as well as practice in contract and partnership negotiation at an international level, would be a plus ? Dynamic and communicative, flexible to combine and work on different tasks ? Ability to work independently and as part of a team, in particular the ability to supervise members of a multidisciplinary team ? Proficiency in French and English ? Citizenship of (or residency papers) a European Union country
Applications will be considered until the position is filled. The position is based in Paris.
Salary: Commensurate with qualifications and experience.
Applicants should email a cover letter addressing the points listed above together with a curriculum vitae to:
Valérie Mapelli ELRA / ELDA 9, rue des Cordelières 75013 Paris FRANCE Mail : job@elda.org
ELRA was established in February 1995, with the support of the European Commission, to promote the development and exploitation of Language Resources (LRs). LRs include all data necessary for language engineering, such as monolingual and multilingual lexica, text corpora, speech databases and terminology. The role of this non-profit membership Association is to promote the production of LRs, to collect and to validate them and, foremost, make them available to users. The association also gathers information on market needs and trends.
(2015-03-03) Poste de maitre de conférence, ENNSAT, Lannion, France
Un poste de MCF en 27ème section est à pourvoir à l?Enssat Lannion, Université de Rennes 1, au sein de l?IRISA dans le département Media et Interaction.
En particulier, une intégration dans l?équipe Expression de l?IRISA (http://www-expression.irisa.fr/) est possible. Cette équipe travaille sur la caractérisation, l?analyse et la génération de l?expressivité dans la parole, le texte et le geste. Le groupe parole, situé à Lannion, se focalise sur :
(2015-03-04) Deux postes de Maître de Conférences en informatique, Avignon, France
Deux postes de Maître de Conférences en informatique (section 27) sont mis au concours pour la campagne 2015 au Centre d'Enseignement et de Recherche en Informatique de l'Université d'Avignon (ceri.univ-avignon.fr).
Les personnes recrutées effectueront leur recherche au sein du LIA (lia.univ-avignon.fr).
Les profils des 2 postes sont consultables sur lia.univ-avignon.fr rubrique Emplois et sur GALAXIE :
(2015-03-10) Post doc grant at INESC, Lisbon, INESC, Portugal
One post-doc grant is now available in project INSIDE: Intelligent Networked Robot Systems for Symbiotic Interaction with Children with Impaired Development. The project is a collaboration between Carnegie Mellon University, INESC-ID, Instituto Superior Técnico, Universidade Nova de Lisboa, Hospital Garcia de Orta, and three Portuguese companies (IDMind, VoiceInteraction and Plux). The project explores symbiotic child-robot interactions in joint cooperative activities, with application to the treatment of children with Autism Spectrum Disorder impairments. The grantee is expected to contribute in implementation and research tasks related to speech processing in environmentally challenging conditions and with limited adaptation data available.
The research will be supervised by Ramón Fernandez Astudillo, researcher at INESC-ID. The grantee will be integrated in the Spoken Language Systems Lab (http://www.l2f.inesc-id.pt). The candidate should have a Ph.D Degree related to the topic. He/she should have experience with Robust automatic speech recognition and/or keyword spotting, deep neural networks and C/C++, bash scripting and Python programming languages.
The following additional experience is not obligatory but will be considered in the evaluation: Computational Paralinguistics, Python-theano, Knowledge of the Portuguese language, and Missing features / Observation uncertainty techniques.
(2015-03-12) Stage (Internship) at ELDA: Développement d'un outil générique d'annotation des ressources linguistiques
Descriptif -----------
- Sujet : Développement d'un outil générique d'annotation des ressources linguistiques
- Niveau : M2 / dernière année d'école d'ingénieur
- Domaine : informatique
- Période : à partir de mars-avril 2015
- Durée : 6 mois
Contexte -------- Acteur majeur des technologies de la langue, ELDA (Evaluations and Language resources Distribution Agency) est une PME dont les activités s'articulent principalement autour de la distribution et de la production de ressources linguistiques. Dans le cadre des projets de production de ressources linguistiques dont elle est en charge, ELDA est souvent amenée à des tâches de collecte, d'annotation de contrôle qualité, de packaging, etc.). Afin de pouvoir gérer la grande variété des différents protocoles et formats d'annotations, ELDA projette d?intégrer en une seule plate-forme un ensemble d'outils qui permettent la gestion homogène et transparente des ressources linguistiques annotées.
Dans ce contexte, ELDA souhaite consolider sa plate-forme, qui devrait permettre : - d'importer des ressources annotées déjà existantes ; - de créer de nouvelles ressources linguistiques, y compris l'annotation de nouveaux corpus ; - de naviguer dans une ressource linguistique recensée dans la plate-forme, ou à travers plusieurs ressources ; - de récupérer et d'effectuer des statistiques sur des éléments des corpus et/ou des annotations.
Travail à réaliser ------------------
Au sein de l'équipe de développement informatique d'ELDA, sous la tutelle d'un ingénieur spécialiste du traitement automatique des langues, vous serez amené à participer aux travaux suivants :
- faire un état de l'art sur les outils d'annotation de ressources linguistiques disponibles actuellement ;
- spécifier / réviser l'architecture de l'outil d'annotation à mettre en place chez ELDA ;
- réaliser des développements dans des outils d'annotation, de concert avec les autres membres de l'équipe de développement informatique d'ELDA ;
- développer des composantes logicielles d'importation et d'exportation de données annotées depuis et vers des formats existants, autres que le format utilisé par l'outil d'annotation. Vos participerez également aux réunions périodiques de l'équipe de développements logiciels d'ELDA.
Profil souhaité ---------------
- BAC + 4/5 / Dernière année d'École d'ingénieur ; - Bonnes connaissances pratiques de la programmation orientée objet ; - Connaissances de base en algorithmique ; - Connaissances de base des architectures des applications Web ; - Connaissance pratique d'un système de gestion de bases de données ; - Anglais technique ; - La connaissance du langage Python sera appréciée ; - Des notions sur le langage JavaScript seront un plus.
Candidature -----------
Ce stage, d'une durée de 6 mois et basé à Paris dans le 13e arrondissement (Les Gobelins), est à pourvoir au printemps 2015.
Les candidatures (CV, lettre de motivation) doivent être adressées à Vladimir Popescu (vladimir@elda.org).
Le stage fait l'objet d'une rémunération, variable en fonction du niveau d'études du candidat.
(2015-03-13) Postdocs in Robust Speaker Verification, Aalborg University, Denmark
Postdocs in Robust Speaker Verification, Aalborg University, Denmark
At the Faculty of Engineering and Science, Department of Electronic Systems, The section for Signal and Information Processing, two postdoc positions in Robust Speaker Verification are open for appointment from May 1, 2015, or as soon as possible thereafter. The positions are available for a period of 2 years. The Department of Electronic Systems is one of the largest departments at Aalborg University with a total of more than 300 employees. The department is internationally recognized in particular for its contributions within Information and Communication Technology (ICT). The department focuses on maintaining a close interplay with the university's surroundings - locally, nationally and internationally ? as well as producing unique basic research and educating talented and creative engineers. The department collaborates with leading ICT researchers all over the world.
The two postdocs will work on a Horizon 2020 project funded by the European Commission. This project aims at developing innovative speaker verification methods for access control. This relies on developing the core technologies for both text-independent and text-dependent speaker verification and on developing methods robust to varying acoustic environments and threats from spoofing. The results will be used to build a robust speaker verification platform for data-sensitive and mission-critical applications. The applications are from various business sectors and presented by the industrial partners in the project consortium. The postdocs will cooperate closely with a number of leading academic and industrial partners from the European countries. The successful applicants must have a PhD degree in speaker recognition, noise-robust speech processing, statistical signal processing or machine learning and preferably have experience with developing speaker recognition algorithms or robust speech systems.
You may obtain further information from Associate Professor Zheng-Hua Tan, Department of Electronic Systems, phone: +45 9940 8686, email: zt@es.aau.dk, concerning the scientific aspects of the position.
(2015-03-28) Associate Research Engineer, NLP at ETS San Francisco, CA, USA
Associate Research Engineer, NLP
Date Updated:
March 31, 2015
Location:
San Francisco, CA
Job Type:
Full-Time/Regular
Travel:
Not Specified
Position ID:
188165SF
Job Level:
Entry Level(less than 2 years)
Years of Experience:
Less Than 1 Year
Level of Education:
Masters Degree
Starting Date :
ASAP
Job Description
Assist in the implementation of speech technology and natural language processing (NLP) components of medium- to large-scale, complex research projects for ETS researchers, testing program areas, and external clients. Consult with research scientists in the application, modification, and documentation of such systems using established technologies.
Work effectively in a team setting and take an active role in contributing to team discussions and decisions.
Analyze, design, modify, develop, document and implement technologies for executing medium- to large-scale, complex Speech technology and NLP research and development tasks. Identify unexpected problems in the application of Speech and NLP tools, and develop solutions.
Consult with research supervisory staff on the development of technologies for executing medium- to large-scale, complex Speech technology and NLP research and development tasks. Contribute to the implementation and support of new Speech and NLP methodologies to support research system development.
Assist in the preparation of NLP development components of proposals and cost/resource estimates.
Maintain continuing awareness of recent advances in speech and natural language processing, machine learning, and software development methodologies.
Implement components of technical documentation of NLP software systems, solutions and results.
Attend area-wide staff training and development sessions.
Experience and Skills
Required Experience:
EDUCATION A Masters degree in Computer Science, NLP, Language Technology, Computational Linguistics, Linguistics or a closely related field is required.
EXPERIENCE A strong programming background, in languages such as Java, Python, Perl, and C, and facility with computational algorithms are essential. Coursework in statistics and experience in using machine learning toolkits are highly desirable. Experience with speech processing software (e.g. HTK, Praat, Matlab) is desirable.
OTHER REQUIREMENTS
Knowledge of UNIX and Windows computing environments.
Familiarity with UNIX tools and scripting languages.
Excellent verbal and written communication.
Familiarity with algorithms, methods and data structures in common use in the processing of speech and language data.
ETS is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or other characteristic protected by law.
(2015-03-29) Post-doc in Experimental Psycholinguistics, University of Geneva, Switzerland
Post-doc Announcement: 1 year position in Experimental Psycholinguistics, University of Geneva
Job description: The post is associated with a project funded by the Swiss National Science Foundation (SNSF) entitled: ?All speakers are listeners, and vice versa: On the interface between production and comprehension processes?. The objective of the post-doctoral project is to examine the nature of the phonological information used in spoken word production and recognition tasks, using behavioral, acoustic and EEG measurements. There are no teaching obligations associated with the position.
Requirements:The candidate must hold a PhD degree in Linguistics, Psychology or related field. We seek applications from candidates with a strong background in Experimental psycholinguistics or phonetics. Native or close to native knowledge of French as well as good knowledge of English are desirable. Prior experience with EEG studies is a plus.
Starting date: 15 May 2015 (to be discussed)
Deadline for application: 15 April 2015
Please send applications (motivation letter, CV, list of publications and research statement, letter of reference) by email to Audrey Bürki (Audrey.buerki@unige.ch). Applications received by April 15, 2015 will receive full consideration. The position is open until filled. For further information, contact Audrey.buerki@unige.ch
Ceci est un aperçu du poste de Speech R&D Engineer chez ValidSoft Limited. Inscrivez-vous sur LinkedIn pour voir l’annonce complète, c’est gratuit !Inscrivez-vous sur LinkedIn, c’est gratuit !
À propos de ce poste
Descriptif du poste
ValidSoft is seeking an innovative and ambitious Research and Development Engineer to help build the products that will drive the future of transaction security and next generation voice biometrics technology.
You will have a solid background in speech technology and machine learning as well as experience in understanding and participating in the software delivery lifecycle, while now seeking to further your career by developing great products that deliver exceptional user experience.
This role, within our speech research and development team and located in the heart of London, is tasked with the development of ValidSoft’s core voice biometrics products that meet our client’s business need.
Duties and Responsibilities
Design, develop and support software features for our market leading voice biometrics technologies, products and solutions.
Work with Operations & Product Management to understand the requirements, plan and estimate work packages and deliver to schedule.
In a broader sense we want you to:
Bring to ValidSoft’s products the latest speaker recognition and machine learning technology.
Help bring latest development technologies and methodologies into the company.
Act as a champion for innovation within the business.
Follow and understand the latest developments in voice biometrics from fundamental research through product innovation to real world operation.
Deliver real technologies, products and solutions, on time, to meet business and customer demands.
Compétences et expérience souhaitées
We are seeking an individual with an extreme “can-do” attitude, a willingness to learn and take on cross-functional tasks, take ownership of assigned projects and be an important team contributor.
Importantly, you will have the willingness to join a fast moving, fast growing international company like ValidSoft, with the associated frenetic and energetic levels of the environment and a-typical type of colleagues, within a highly skilled, motivated and fun loving company with a great team spirit.
Specific skills:
MSc or PhD in Computer Science, Machine Learning, Signal Processing, preferably Voice Biometrics.
Strong C/C++ and Matlab skills.
Familiar with scripting languages such as Perl or Python.
Desired skills:
Previous experience in voice biometrics R&D
Experience of real world voice biometrics system deployments
Familiarity with Linux environment and command line tools
Knowledge of speaker separation, speech recognition, and noise cancelation would be a plus.
We will only be accepting applications from applicants currently resident within the European Union and with an unrestricted right to work in the UK.
À propos de cette entreprise
ValidSoft Limited
ValidSoft (www.validsoft.com, part of Elephant Talk Communications (OTCBB: ETAK) provides strong transaction security that is incredibly simple for the user. Built around voice biometrics, our multifactor authentication solution protects Online, Mobile, Card and Telephone transactions. We work in Financial Services, government and business automation. Companies that choose to work with ValidSoft see strong security and great user experience as key to business success.
ValidSoft's technology has been recognised by respected analyst firms like Forrester, Gartner, Opus and Ovum.
The University of Eastern Finland, UEF, is one of the largest multidisciplinary universities in Finland. We offer education in nearly one hundred major subjects, and are home to approximately 15,000 students and 2,800 members of staff. We operate on three campuses in Joensuu, Kuopio and Savonlinna. In international rankings, we are ranked among the leading 300 universities in the world. The Faculty of Science and Forestry operates on the Kuopio and Joensuu campuses of the University of Eastern Finland. The mission of the faculty is to carry out internationally recognised scientific research and to offer research-education in the fields of natural sciences and forest sciences. The faculty invests in all of the strategic research areas of the university. The faculty’s environments for research and teaching are international, modern and multidisciplinary. The faculty has approximately 2,700 Bachelor’s and Master’s degree students and some 450 postgraduate students. The number of staff amounts to 650. http://www.uef.fi/en/lumet/etusivu
We are now inviting applications for a Post-Doctoral Researcher or an Early Stage Researcher (speech technology) position, School of Computing, Joensuu Campus
The position is filled in a Horizon 2020 funded project focused on SPEAKER RECOGNITION in an access control setting, involving a network of 12 partners from 7 EU countries. The position is filled for the full duration of the project, TWO YEARS, project kick-off being planned for May 2015 (At the time of posting this ad, the grant from the European Commission is awaiting signature and, in formal terms, cannot be taken for confirmed).
The Researcher will work closely with Dr. Kinnunen.
This position is filled up in Joensuu campus – a quiet location surrounded by lakes, forests and friendly people. School of Computing, at the facilities of Joensuu Science Park, provides modern research facilities. Our current speech processing team consists of two seniors, two post-docs and four PhD students, all working in the general areas of speaker and language recognition. We organized the Odyssey 2014 workshop (http://cs.uef.fi/odyssey2014/).
The person to be appointed to the Early Stage Researcher position is required to be eligible to pursue doctoral studies and to hold a relevant Master's degree or the person to be appointed to the Post-doctoral position will have a doctoral degree in spoken language technology, electrical engineering, computer science, machine learning or a related field. The Researcher should be comfortable with Unix/Linux, Matlab/Octave or other modern language (C/C++/Python/etc), with strong hands-on experience and creative problem solving attitude. The languages of research and teaching at the School of Computing are Finnish and English.
The position is filled for a fixed term from 1.5.2015 to 30.4.2017.
The salary of the Early Stage position is determined in accordance with the salary system of Finnish universities and is based on levels 2-4 of the job requirement level chart for teaching and research staff (€1 964.69 - 2 452.201 964.69 - 2 452.20/ month) or the salary of the Post-doctoral Researcher is based on level 5 (€ 2 840,64/month). In addition to the job requirement component, the salary includes a personal performance component, which may be a maximum of 46.3% of the job requirement component. For further information on the position, please contact: Senior Researcher Tomi Kinnunen, email: tkinnu@cs.uef.fi, Tel. +358 50 442 2647+358 50 442 2647.
A probationary period is applied to all new members of the staff.
(2015-04-01) Senior Researcher, University of Eastern Finland, Joensuu Campus
Senior Researcher
The University of Eastern Finland, UEF, is one of the largest multidisciplinary universities in Finland. We offer education in nearly one hundred major subjects, and are home to approximately 15,000 students and 2,800 members of staff. We operate on three campuses in Joensuu, Kuopio and Savonlinna. In international rankings, we are ranked among the leading 300 universities in the world.
The Faculty of Science and Forestry operates on the Kuopio and Joensuu campuses of the University of Eastern Finland. The mission of the faculty is to carry out internationally recognised scientific research and to offer research-education in the fields of natural sciences and forest sciences. The faculty invests in all of the strategic research areas of the university. The faculty’s environments for research and teaching are international, modern and multidisciplinary. The faculty has approximately 2,700 Bachelor’s and Master’s degree students and some 450 postgraduate students. The number of staff amounts to 650. http://www.uef.fi/en/lumet/etusivu
School of Computing is looking for a Senior Researcher (speech technology), School of Computing, Joensuu Campus
The position is filled in a Horizon 2020 funded project focused on SPEAKER RECOGNITION in an access control setting, involving a network of 12 partners from 7 EU countries. The position is filled for the full duration of the project, TWO YEARS, project kick-off being planned for May 2015 (At the time of posting this ad, the grant from the European Commission is awaiting signature and, in formal terms, cannot be taken for confirmed).
The senior researcher will take a leading role in the project and will work closely with Dr. Tomi H. Kinnunen (http://cs.uef.fi/pages/tkinnu/webpage/). The duties of the senior researcher will involve both administrative and technical matters. As for the former, the senior researcher will take a major role in project reporting, as well as in supervision of the post-doc/PhD candidates. The goals involve searching for practical solutions to challenging real-world issues such as robust speaker verification under noisy environments, short utterances and spoofing.
Our current speech processing team consists of two seniors, two post-docs and four PhD students, all working in the general areas of speaker and language recognition. We organized the Odyssey 2014 workshop (http://cs.uef.fi/odyssey2014/).
The senior researcher will have a suitable doctoral degree in spoken language technology, electrical engineering, computer science, machine learning or a related field. He/she should be comfortable with Unix/Linux, Matlab/Octave or other modern language (C/C++/Python/etc), with strong hands-on experience and creative problem solving attitude and have good teaching skills. The languages of research and teaching at the School of Computing are Finnish and English.
The position is filled for a fixed term from 1.5.2015 to 30.4.2017.
The salary of the position is determined in accordance with the salary system of Finnish universities and is based on levels 6 - 7 of the job requirement level chart for teaching and research staff (€3 313,22 – 3 819,56/ month). In addition to the job requirement component, the salary includes a personal performance component, which may be a maximum of 46.3% of the job requirement component.
For further information on the position, please contact: Senior Researcher Tomi Kinnunen, tel. +358 50 442 2647+358 50 442 2647, email: tkinnu@cs.uef.fi.
(2005-04-14) Thèse de doctorat à IRISA Lannion Bretagne France
Une offre de thèse de doctorat (3 ans, à partir d?octobre 2015) est disponible dans l'équipe EXPRESSION de l?IRISA à Lannion sur la détection multimodale d?anormalité dans le discours : utilisation de la voix et des expressions faciales.
Date limite de candidature : URGENT, le 4 mai 2015
(2015-04-16) Assistant Professor in Socially Aware ICT at KTH, Stockholm, Sweden
Assistant Professor in Socially Aware ICT
KTH – Royal Institute of Technology invites applications for a tenure-track faculty appointment in Socially Aware ICT at the rank of Assistant Professor. We seek individuals with outstanding potential for research achievement, and a strong interest and commitment to undergraduate and graduate teaching. We seek candidates that can add to or extend the current research areas at KTH with more emphasis being put on excellence than on candidates’ specific area of expertise. The position comes with a significant start package that will allow the successful candidate to quickly establish their own research group.
KTH carries out a wide range of internationally renowned research related to Socially Aware ICT.
Research groups working in social robotics, computer vision, speech technology and human–computer interaction, comprise part of the School of Computer Science and Communication. For more information about the school, see www.kth.se/csc
Research groups in technology in caring sciences and health systems engineering comprise part of the School of Technology and Health. For more information about the school, see www.kth.se/sth
For further information and details on application procedure see www.kth.se/applytoassistantprofessor
Application deadline is May 29, 2015.
Applicants having earned their PhD no later than May 2008 will be given priority. The term of appointment is expected to begin around November 2015, or later depending on availability.
Contacts:
Prof Danica Kragic, Head of Centre for Autonomous systems, danik@csc.kth.se
Prof Joakim Gustafson, Head of department of Speech, Music and Hearing, jocke@speech.kth.se
Prof Britt Östlund, School of Technology and Health, brittost@kth.se
Ass Prof Hedvig Kjellström, Head of the Computer Vision and Active Perception Lab, hedvig@csc.kth.se
Prof Kia Höök, Head of MobileLife, khook@kth.se
Prof Roberto Bresin, Department of Media Technology and Interaction Design, oberto@kth.se
(2015-04-20) Postdoctoral research position in South Africa
Postdoctoral research position:
Wordspotters for radiomining in rural Africa
A postdoc position focussing on automatic identification of spoken keywords in multilingual environments with few or no resources is available in the Digital Signal Processing Group of the Department of Electrical and Electronic Engineering at the University of Stellenbosch. The project will develop wordspotters that can be used to monitor community radio broadcasts in rural African regions as a source of early warning information during natural disasters, disease outbreaks, or other crises. Specific project objectives include the development of a research system, the production of associated publishable outputs, and the development of a web-based demonstrator. The position is part of a collaborative project with the United Nations Global Pulse. Further information is available on the web at http://pulselabkampala.ug/radiomining.
Applicants should hold a PhD (preferably obtained within the last 5 years) in the field of Electronic/Electrical Engineering, Information Engineering, or Computer Science, or other relevant disciplines. Suitable candidates must have practical experience with automatic speech processing systems and should have an excellent background in statistical modelling, signal processing, and/or speech analysis. The candidate must also have good programming skills and be able to use high level programming languages for developing prototype systems. Finally, candidates must have excellent English writing skills and have an explicit interest in scientific research and publication.
The position will be available for one year, with a possible extension to a second year, depending on progress and available funds.
Applications should include a covering letter, curriculum vitae, list of publications, research projects, conference participation and details of three contactable referees and should be sent as soon as possible to: Prof Thomas Niesler, Department of Electrical and Electronic Engineering, University of Stellenbosch, Private Bag X1, Matieland 7602. Applications can also be sent by email to: trn@sun.ac.za. The successful applicant will be subject to University policies and procedures.
Interested applicants are welcome to contact me at the above e-mail address for further information regarding the project.
(2015-04-21) Postdoc position at Aix-Marseille University (France)
Postdoc position at Aix-Marseille University (France) in opinion analysis and novelty discovery
Application deadline: 04/31/2015 Starting: as soon as possible.
Description:
The ADNVIDEO project, funded in the framework of A*MIDEX (http://amidex.univ-amu.fr/en/home), aims at extending multimodal analysis models. It focuses on jointly processing audio, speech transcripts, images, scenes, text overlays and user feedback.
Using as starting point the corpus, annotations and approaches developed during the REPERE challenge (http://defi-repere.fr), this project aims at going beyond indexing at single modalities by incorporating information retrieval methods, not only from broadcast television shows, but more generally on video documents requiring multimodal scene analysis. The novelty here is to combine and correlate information from different sources to enhance the description of the content. In particular, the use case considered may have, in terms of technology transfer, significant economic benefits regarding automatic information monitoring of people or brands: automatically find the most relevant content about a person or a brand and if this content is positive or not.
Objectives:
The candidate will participate in the development of a prototype for video monitoring, leading to a technology transfer towards business: * Extraction of multimodal high-level descriptors (semantic-oriented descriptors). These semantic-oriented descriptors are extracted from low-level descriptors, especially from text transcripts. o Extract concepts (conceptualization) from the transcript of the audio. o Detection of semantic chapters by aggregation of concepts extracted shot/scene-wise o Detection of novelty about peoples or brands o Detection and extraction of sentiments and opinions * Aggregation of multimodal descriptors to form the multimodal footprint of a video. * Matching videos and promotional material using recommendation approaches * Validation of the video recommendation prototype. * Participation to the scientific life of the lab, including paper publication. The allocation of the tasks can be adjusted depending on the wishes and skills of the candidate.
Skills:
For this project, we are looking for one candidate with a PhD degree in the areas of information retrieval, natural language processing, machine learning: * Strong programming skills (C++, Java, Python?). * Desire to produce functioning end-to-end systems, life-scale live demos * Scientific rigor * Imagination * Top notch publications * Excellent communication skills * Enjoy teamwork
Contact: sebastien.fournier@lsis.org Duration: 23 month Candidates should email a letter of application, a detailed CV including a complete list of publications, and source code showcasing programming skills. ---
(2015-04-22) PhD position offer at LIA Univ. d'Avignon, France
Sujet : Espaces de représentation sémantique distribues pour les tâches de traduction automatique (compréhension et génération de la parole) dans les systèmes d'interaction vocale
Keywords: word embeddings, deep neural networks, statistical machine translation, spoken language understanding, natural language generation
Description : L’émergence de l’accès universel à la société numérique implique le développement de systèmes d'interaction multilingues : par exemple pour la recherche d'information dans des corpus multimédia multilingues ou pour le développement de systèmes de dialogue multilingues (dont les tâches peuvent aller des systèmes de question/réponse jusqu'à la résolution de problèmes complexes, comme l'aide aux usagers d'une compagnie). Dans ce contexte la traduction automatique n'est pas limitée au passage entre deux langues humaines, ainsi la compréhension et la génération de la parole peuvent être vues comme des exemples de tâches de traduction de la parole et seront étudiées dans le cadre de cette thèse. La recherche d'une solution optimale pour l'ensemble des tâches visées sera bien sur un élément clef de cette étude.
Depuis une dizaine d’années, les approches les plus performantes pour la traduction automatique sont basées sur l’utilisation de modèles probabilistes. Pour être efficaces, de telles approches nécessitent de disposer de larges bases de données d'exemples (dans ce cas, des corpus de phrases parallèles entre les langues source et cible), ce qui n'est pas toujours possible, en particulier dans les domaines spécialisés. par ailleurs, dans le cas de la traduction de la parole, les systèmes doivent baser leurs hypothèses sur les sorties imparfaites des systèmes de reconnaissance de parole. Il est donc important de baser la décision sur un maximum d'informations (et pas uniquement sur l’identité des mots présents).
Des approches récentes ont montre l’intérêt d’intégrer l'information sémantique pour réaliser la traduction automatique de la parole par des méthodes statistiques [1]. Les gains en performance restent toutefois limités et une grande marge d’amélioration est encore possible. De plus, la nécessité d'analyser au préalable le texte réduit les possibilités d'application de ces approches dans le contexte des systèmes d'interaction vocale, où l’étape de reconnaissance de la parole en diminue la faisabilité. En effet, l'extraction fine de caractéristiques est fortement perturbée par le niveau élevé de bruit dans les textes à traiter issus d'une étape de décodage automatique.
Aussi l’émergence de nouvelles approches fortement automatiques pour la représentation des données textuelles, par exemple à l'aide de réseaux neuronaux profonds [2], présente une nouvelle opportunité pour développer des approches permettant d'envisager l'utilisation de nouveaux paramètres sur une grande échelle pour guider et améliorer la traduction par la prise en compte renforcée d'information syntactico-sémantiques [3]. Dans le contexte des systèmes de dialogue homme-machine il sera possible d'évaluer la pertinence des approches envisagées sur des tâches et des corpus de tailles contrôlables.
Références : [1] Dekai Wu et Pascale Fung, Can Semantic Role Labeling Improve SMT?, EAMT, 2009 [2] T. Mikolov, I. Sutskever, K. Chen, G. S Corrado, and J. Dean, “Distributed representations of words and phrases and their compositionality,” in Advances in Neural Information Processing Systems, 2013. [3] David Chiang, Kevin Knight et Wei Wang, 11,001 New Features for Statistical Machine Translation, NAACL-HLT, 2009
Pré-requis : Master en informatique avec une composante sur les méthodes d'apprentissage automatique et/ou sur l’ingénierie de la langue
(2015-04-27) TWO POST-DOCTORAL POSITIONS FOR THE PROJECT IFCASL (LORIA, NANCY, FRANCE)
TWO POST-DOCTORAL POSITIONS FOR THE PROJECT IFCASL (LORIA, NANCY, FRANCE)
We invite applications for a one-year Post?Doctoral position at the Laboratoire LORIA (Lorraine university, INRIA, CNRS, UMR 7306, France), to work on the project IFCASL (Individualised Feedback in computer-Assisted Spoken Language learning).
? Description The IFCASL project is funded by the Deutsche Forschunggemeinschaft (DFG) and the French National Research Agency (ANR). It aims at increasing the usability and efficiency of computer-assisted language learning software by adapting content, feedback and exercises to individual learners in the speech dimension of a foreign language. This will be achieved by integrating the production and perception of the learner?s own speech and focusing on the French-German language pair, in both directions.
The objective is to offer feedback that relies on phonetic knowledge incorporated in the learning system and interacts relevantly with automatic speech recognition (ASR) and signal processing. This means that confidence in the results returned by ASR will be taken into account toderive diagnoses and feedback: the higher the confidence the more explicit the level of feedback.
A corpus of German recorded by French learners and a second of French recorded by German learners will be exploited to determine errors on the one hand, and to develop algorithms involved in feedback on the other hand.
? jobdescription The post?doctoral fellow will be mainly involved in the development of the signal processing and automatic speech recognition algorithms intended to realize the diagnosis and acoustic feedback provided to learners.
? Qualifications A Ph.D. in signal processing or in computer sciences (automatic speech recognition, statistic modeling) and solid competence/experience in JAVA development are required. Experience in phonetics and speaking German and French are also welcome.
? Application procedure Candidates should send a detailed CV with a list of publications, and a cover letter with statement of research interests and details of their experience in signal processing, automatic speech recognition and JAVA. Please e-mail documents to: Yves.Laprie@loria.fr (Yves Laprie, LORIA, Nancy, France).
Deadline for submission: June 15, 2015 Expected start date: September 2015 (There is some flexibility.) Length of contract: 12 months Salary: ?2000/month (net)
(2015-04-30) Post-doc position at LORIA (Nancy, France)
Post-doc position at LORIA (Nancy, France)
Automatic speech recognition: Deep Neural Network for language model
Framework of ANR project ContNomina
The technologies involved in information retrieval in large audio/video databases are often based on the analysis of large, but closed, corpora, and on machine learning techniques and statistical modeling of the written and spoken language. The effectiveness of these approaches is now widely acknowledged, but they nevertheless have major flaws, particularly for what concern proper names, that are crucial for the interpretation of the content.
In the context of diachronic data (data which change over time) new proper names appear constantly requiring dynamic updates of the lexicons and language models used by the speech recognition system.
As a result, the ANR project ContNomina (2013-2017) focuses on the problem of proper names in automatic audio processing systems by exploiting in the most efficient way the context of the processed documents. To do this, the post-doc student will address the contextualization of the recognition module through the dynamic adjustment of the language model in order to make it more accurate.
Post-doc subject
Deep Neural Network have become a key component of modern automatic speech recognition systems. The language model of our recognition system is based on a neural network learned from a large corpus of text. The problem is to estimate the probability of a new proper name depending on its context. Several tracks will be explored: adapting the language model, using a class model or studying the notion of analogy.
Our team has developed a fully automatic system for speech recognition to transcribe a radio broadcast from the corresponding audio file. The post-doc will develop a new module whose function is to integrate new proper names in the language model.
Required skills
A PhD in signal processing or in computer sciences, be familiar with the tools for automatic speech recognition, background in statistics and computer program skills (C, object-oriented programming and Perl).
Post-doc duration: 12 months, start during the 2015 (these is some flexibility)
Localization and contacts: Loria laboratory, Speech team, Nancy, France
Applications are invited for 4 (four) PhD Studentships to undertake research in the areas of computer vision and audio processing for people monitoring in multi-camera multi-microphone environments, and will be part of an interdisciplinary project on audio-visual monitoring for smart interactive and reactive environments. The Studentships (to be started in or after September 2015) are part of an interdisciplinary project between the Centre for Intelligent Sensing (http://cis.eecs.qmul.ac.uk) at Queen Mary University of London (QMUL) and the Centre for Information Technology (http://ict.fbk.eu) at the Fondazione Bruno Kessler (FBK), Trento, Italy.
The Project will focus on methods for long-term people tracking, activity recognition, acoustic scene analysis, behaviour analysis, distant-speech recognition and understanding applied to individuals as well as groups. Such information will enable learning 'patterns of usage' of the environment, and patterns can in turn be used to adapt and optimise the sensing accordingly.
Each PhD student will spend approximatively 50% of their time in London and 50% of their PhD time in Trento and will have access to state-of-the-art audio-visual laboratories, including a multi-camera multi-microphone installation at a large open hallway and a smart home facility equipped with cameras, microphones and automated devices.
Toshiba Research Europe Ltd (STG-CRL), in Cambridge UK, is looking for researchers to join its Speech Technology Group for a) Acoustic modelling for speech recognition (primarily) and synthesis b) statistical spoken dialogue.
Outstanding PhD-level candidates at a good level of experience are encouraged to apply. Candidates should be highly motivated, team-oriented and should have the ability to work independently. Strong mathematical background and excellent knowledge in signal processing and speech analysis algorithms are required. Good software engineering skills will be a plus.
About us
The lab in Cambridge, in collaboration with other Toshiba groups and speech laboratories in China and Japan, covers all aspects of speech technology and at many levels: from basic and fundamental research to industrial development. We support our researchers in building their career by encourage them to publish their results and by investing in innovation and creation for addressing real problems in speech and language technology. STG-CRL has also strong connections with EU Universities , especially with the Cambridge University Engineering Department.
Salary
We offer competitive salary and benefit packages with private pension plan, bonuses, private health insurance, BUPA Medical, Life Assurance, Group Income Protection
(2015-05-06) Assistant professor position at KTH Stockholm, Sweden
Speech Communication with specialization in phonetically-based interaction analysis
KTH Royal Institute of Technology, KTH computer Science and Communication
KTH Royal Institute of Technology in Stockholm is the largest and oldest technical university in Sweden. No less than one-third of Sweden’s technical research and engineering education capacity at university level is provided by KTH. Education and research spans from natural sciences to all branches of engineering and includes Architecture, Industrial Management and Urban Planning. There are a total of 12,400 full year students at first and second l evels, almost 1,900 active (at least 50 per cent) research students and 5,100 employees. For information about KTH Computer Science and Communication, go to https://www.kth.se/en/csc.
Your work will take place at the department of Speech, Music and Hearing. The department is an internationally recognized research lab in speech technology and modelling of spoken communication. Speech research is focused on human-like communication with machines and robots, based on multimodal information. The research area is truly multi-disciplinary bridging computer science, machine learning, linguistics, and perception and cognition disciplines. The research is based on data-driven methods: collection and refinement of corpora, as well as development of tools and language resources is thus a central part of the work. For more information go to, https://www.speech.kth.se.
Subject field
Speech Communication with specialization in phonetically-based interaction analysis
Subject description
Speech Communication concerns the study of human communication involving speech, in which other signals such as facial and bodily movements also are of great importance. The field includes theories, models and technical systems concerning all parts of the communication chain. Central research topics in the specialization towards phonetic interaction analysis include experimental design and execution of data collections; phonetic, prosodic and multimodal analysis; and modelling of the interactional aspects of spoken dialogue.
Duties
The duties involve research and teaching as a part of the Speech Group at Dept. of Speech, Music and Hearing (TMH) at the School of Computer Science and Communication (CSC). The teaching includes advanced courses, master thesis and PhD supervision. The teaching will not exceed 25 %. The assistant professor will be given opportunity to develop their independence as researcher and gain accreditation that may allow them to take other teaching positions with higher eligibility requirements (see Chapter 4, Section 12 a of the Higher Education Ordinance). Following application, the assistant professor shall be assessed for promotion to associate professor.
Qualifications
Eligibility
A person is eligible for appointment if they have attained a Degree of Doctor or have the equivalent academic expertise. Primarily, persons should have attained a Degree of Doctor or have acquired the equivalent expertise no more than seven years before the end of the application period.
Grounds of assessment
Special importance
Scientific and technical skills within the subject area, documented by publications in international journals and main conferences in the area are of special importance. Documented ability to advance the field through independent scientific research on a high international level is also of special importance.
Significant importance
Ability to establish and develop international cooperations within research and education is of significant importance, as is the applicant’s documented experience of teaching in the subject field and related areas at advanced level. The applicant's long-term potential to develop and establish an independent research activity och continuously renew the research area is also of significant importance.
Of importance
It is of importance that a person who is appointed as assistant professor at KTH has experience from research environments other than KTH, equivalent to a post-doctorate period or doctorate degree from another university. Documented experience from initiating and executing externally financed research projects are also of importance.
Also taken into account
Ability to collaborate with the surrounding society and to disseminate information regarding research and development work will also be taken into account. In addition, the applicant's expertise in developing and leading activities and personnel is taken into acocunt. This includes having knowledge about matters of diversity and equal treatment, with particular focus on gender equality.
Special grounds of assessment for promotion to associate professor
When assessing applications for promotion to associate professor, the applicant's ability to independently initiate and carry out research of high academic quality, published in international publications, and the applicant's ability to obtain financing for research operations will be assessed. One special ground for assessment is the applicant's ability to independently establish new collaborations and research specializations. Special consideration will be shown to displayed teaching and supervising expertise.
You'll find contact information to trade union representatives at KTH:s web page.
Application
Your application should follow KTH´s CV template for employment of teachers. You are the main responsible to ensure that the application is complete according to the ad and CV template. Your complete application must be received at KTH no later than the last day of application. Log into KTH's recruitment system in order to apply to this position.
Others
Time limitation: The appointment is for an indefinite term, but no more than four years, and may be extended if, due to the teacher’s absence due to sick leave, parental leave or other special grounds, more time is required to reach the objectives of the appointment. However, the total appointment period may not exceed six years. The appointment is part of the Tenure Track system at KTH and the assistant professor may apply for promotion to tenured associate professor.
We firmly decline all contact with staffing and recruitment agencies and job ad salespersons.
Type of employment: Temporary position longer than 6 months
(2015-05-06) 3 Ph.D. and 2 Post-doc positions at Autonomous University of Zacatecas, Mexico.
3 Ph.D. and 2 Post-doc positions
at Autonomous University of Zacatecas, Mexico. On the topic of Automatic Speech Recognition and Speech Synthesis for autochthonous Mexican languages. mailto:hamurabigr@uaz.edu.mx(http://piitec.uaz.edu.mx/)
(2015-05-09) ingénieur R&D spécialiste des technologies à l'équipe LINKMEDIA de l'IRISA, Rennes, Bretagne, France
L'équipe LINKMEDIA de l'IRISA recherche un ingénieur R&D spécialiste des technologies multimédias, Bac+5 ou Bac+8. Rémunération selon niveau d'étude et expérience. Merci de diffuser auprès des étudiants dans les filières concernées.
===================================================================== Lieu d?exercice : IRISA, Rennes Contrat : CDD d?une dure?e de 18 mois de?butant le 1er septembre 2015 Re?mune?ration : de 24 k? a? 35 k? annuels bruts selon expe?rience Contact : Guillaume Gravier, guillaume.gravier@irisa.fr
L?e?quipe LINKMEDIA de l?IRISA, laboratoire de recherche public, travaille au de?veloppement de technologies permettant la description et l?acce?s au contenus multime?dias par analyse de ces derniers : vision par ordinateur, traitement de la parole et du langage, traitement des contenus audio, fouille de donne?es. Nos recherches portent par exemple sur des algorithmes de de?tection de noms propres et noms de lieux dans des textes, de segmentation en locuteur de documents audios, de de?tection d?images similaires ou encore d?objets particuliers dans les images. Nous e?tudions e?galement comment assembler ces fonctionnalite?s de base pour organiser des collections de contenus multime?dias et de?velopper des prototypes d?applications permettant d?exploiter des collections multime?dias pour en extraire des informations.
Les travaux de l?e?quipe s?appuient sur une plateforme qui a pour objectif d?accompagner les chercheurs travaillant dans le domaine de l?analyse et de l?exploitation de contenus multime?dias. La plateforme fournit d?une part une infrastructure mate?rielle pour acque?rir des donne?es, mettre a? disposition des corpus de re?fe?rence, stocker des re?sultats de traitements et les partager. D?autre part, nous de?veloppons une offre logiciel sous la forme de web services en s?appuyant sur une architecture ge?ne?rique et transparente de mise en ligne de programmes issus de la recherche. Ces services permettent en particulier un acce?s libre aux technologies multime?dias pour certains usages : travaux de recherche, test d?ade?quation pour les industriels, travaux pratiques dans un cadre e?ducatif, etc.
Pour de?velopper et promouvoir les services propose?s sur la plateforme d?indexation multime?dia de l?IRISA, nous souhaitons recruter un inge?nieur spe?cialiste du traitement des donne?es multime?dias. Les missions qui lui seront confie?s sont : ? inte?gration a? la plateforme de modules existants ? de?veloppement de nouveaux modules mettant en ?uvre des techniques a? l?e?tat de l?art ? mise en cohe?rence de l?ensemble des modules et documentation ? re?alisation de de?monstrations d?applications multime?dias pour l?e?ducation et le transfert industriel ? participation a? des campagnes d?e?valuation internationale L?inge?nieur sera inte?gre? dans l?e?quipe de recherche LINKMEDIA et travaillera en e?troite collaboration avec les chercheurs et leurs partenaires sur des projets de R&D.
Le candidat, de niveau Bac+5 ou Bac+8, devra posse?der un inte?re?t marque? pour les technologies multime?dias et les technologies du web. Il devra e?galement justifier d?une expe?rience significative en programmation (langages C/C++, perl, python), par exemple au travers de projets et de stages pour les jeunes diplo?me?s. Une expe?rience dans la conduite de projets informatiques d?envergure sera appre?cie?e. E?tant donne? le contexte international de travail, une bonne connaissance de l?anglais est indispensable.
Pour candidater, merci d?adresser un CV accompagne? d?une lettre de motivation. Pour plus de pre?cisions sur le poste, nous contacter.
(2015-05-12)3 postes d'ATER au département d?Informatique, Mathématiques et de Linguistique appliquées, Univ Paris 1 (Sorbonne), France
Trois postes d'ATER en informatique sont disponibles à l'UFR de Sociologie et d'Informatique pour les Sciences Humaines de l'Université Paris Sorbonne avec le profil 'traitement de la parole et du langage'. Les candidats enseigneront l?Informatique dans les différentes formations de licence et de master du département d?Informatique, Mathématiques et de Linguistique appliquées. Ils devront s'inscrire dans un ou plusieurs axes de l'équipe de linguistique computationnelle du laboratoire Sens Texte Informatique et Histoire (STIH)(www.stih.paris-sorbonne.fr/)
La date limite de candidature est le 22 mai 2015 16h Personne à contacter : Claude.Montacie@Paris-Sorbonne.fr
