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ISCApad #212 |
Friday, February 05, 2016 by Chris Wellekens |
6-1 | (2015-10-06) POST-DOC OPENING IN STATISTICAL NATURAL LANGUAGE PROCESSING AT LIMSI-CNRS, FRANCE POST-DOC OPENING
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6-2 | (2015-10-16) CDD à l’Institut français de l’Éducation (IFÉ - ENS de Lyon) Offre de CDD 6 mois : Sélection d’un système automatique de phonétisation de texte, adaptation au contexte de l’apprentissage de la lecture, puis intégration au sein de la plate-forme web du projet CADOE (Calcul de l’Autonomie de Déchiffrage Offerte aux Élèves). Contexte L’Institut français de l’Éducation (IFÉ - ENS de Lyon) mène une recherche d’envergure nationale sur l’apprentissage de la lecture et de l’écriture au cours préparatoire (projet LireEcrireCP). Cette recherche réunit 60 enseignants chercheurs et doctorants répartis sur le territoire national. 131 classes ont été observées et de nombreuses données ont été recueillies et analysées. Il en ressort notamment que les textes dont moins de 31% du contenu est directement déchiffrable par les élèves pénalisent leurs apprentissages, et que ceux dont cette proportion dépasse 55% favorisent les apprentissages des élèves les plus faibles en « code » (c’est-à-dire sur les correspondances entre les lettres et les sons) à l’entrée du cours préparatoire. L’analyse nécessaire pour connaitre cette part directement déchiffrable est complexe et ne peut être réalisée au quotidien par les enseignants, mêmes chevronnés. Ils ne disposent donc pas d’une information pourtant cruciale au choix des textes à utiliser pour enseigner la lecture. Le projet CADOÉ a pour but de mettre en place une plate-forme qui permettra aux enseignants d’accéder à cette part de texte directement déchiffrable par les élèves. Pour cela, ils devront renseigner la progression de leur enseignement des correspondances entre les lettres et les sons (l’étude du « code »), indiquer quels mots ont été appris en classe, et déposer les textes « candidats » pour être utilisés comme supports de lecture. Ces textes seront automatiquement analysés et segmentés en unités graphiques. La confrontation du « code » enseigné et des mots appris en classe avec le résultat de la décomposition permettra de calculer, et de fournir en retour à l’utilisateur, la mesure de la part de texte directement déchiffrable par les élèves, autrement dit le niveau d’autonomie de déchiffrage des élèves sur le texte soumis. Compétences attendues Nous recherchons des candidats ayant, soit un profil informatique avec une spécialisation sur le traitement automatique des langues (TAL) ou le traitement automatique de la parole, soit une formation en linguistique avec spécialisation sur l’ingénierie linguistique et l’informatique. La personne recrutée étudiera des outils de phonétisation existants, et en sélectionnera un. Elle devra ensuite le configurer ou l’adapter pour que ses sorties soient conformes à la décomposition attendue proposée par Riou (2015), et assurera les tests. Elle portera le projet et sera responsable de son avancée. Elle travaillera en coordination avec l’équipe de développement Web sur les formats d’échanges entre la plate-forme et l’outil de phonétisation. Elle travaillera en étroite collaboration avec J. Riou, chargé d’étude à l’IFÉ, responsable scientifique du projet qui validera la configuration de l’outil de phonétisation et coordonnera les tests utilisateur de l’environnement développé, ainsi qu’avec P. Daubias, Ingénieur de Recherche en Informatique, responsable techniques. L’implication technique dans la réalisation de la plate-forme web CADOÉ pourra varier en fonction du profil et des compétences du(de la) candidat(e) retenu(e). L’intégration à l’équipe CADOÉ permettra. Le processus de développement sera itératif (cycle en spirale) en affinant les spécifications au vue des maquettes successives réalisées. Aspects techniques Le développement se fera pour une cible Linux et doit être performant. Le premier outil étudié (lia_phon) est écrit en C, mais son adaptation ne requiert pas nécessairement une connaissance approfondie de ce langage. D’autres outils de phonétisation sont envisageables (IrisaPhon par exemple), et les technologies ne sont pas figées. Aspects administratifs Lieu : Institut français de l'Éducation - École Normale Supérieure de Lyon Bâtiment D6 19 allée de Fontenay, 69007 Lyon Métro B : Debourg Rémunération en fonction du niveau et selon grille : de 1700 € à 2500 € brut mensuel. Début de contrat : dès que possible Merci d’envoyer votre candidature (CV + lettre de motivation) à : lire.ecrire@ens-lyon.fr Un premier examen des dossiers reçus aura lieu début novembre 2015 Durée du contrat : 6 mois
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6-3 | (2015-12-02) Master2 position at Multispeech Team, LORIA (Nancy, France) Master2 position at Multispeech Team, LORIA (Nancy, France) Automatic speech recognition: contextualisation of the language model based on neural networks 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 student will address the contextualization of the recognition module through the dynamic adjustment of the language model in order to make it more accurate. Subject Current systems for automatic speech recognition are based on statistical approaches. They require three components: an acoustic model, a lexicon and a language model. This stage will focus on the language model. The language model of our recognition system is based on a neural network learned from a large corpus of text. The problem is to re-estimate the language model parameters for a new proper name depending on its context and a small amount of adaptation data. Several tracks can 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 student will develop a new module whose function is to integrate new proper names in the language model. Required skills Background in statistics and object-oriented programming. Localization and contacts Loria laboratory, Multispeech team, Nancy, France Irina.illina@loria.frdominique.fohr@loria.fr Candidates should email a detailed CV and diploma References [1] J. Gao, X. He, L. Deng Deep Learning for Web Search and Natural Language Processing , Microsoft slides, 2015 [2] X. Liu, Y. Wang, X. Chen, M. J. F. Gales, and P. C. Woodland. Efficient lattice rescoring using recurrent neural network langage models, in Proc. ICASSP, 2014, pp. 4941?4945. [3] M. Sundermeyer, H. Ney, and R. Schlüter. From Feedforward to Recurrent LSTM Neural Networks for Language Modeling. IEEE/ACM Transactions on Audio, Speech, and Language Processing, volume 23, number 3, pages 517-529, March 2015.
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6-4 | (2015-10-22) Scientific collaborator for the multimodal project ADNVIDEO, Marseille, France Application deadline: 12/31/2015
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6-5 | (2015-11-05) Ingénieur pour le projet LINKMEDIA de l'IRISA, Rennes, France L?e?quipe LINKMEDIA (http://www-linkmedia.irisa.fr) de l?IRISA travaille au
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6-6 | (2015-11-13) Ph.D. at Limsi, Orsay, France LIMSI (http://www.limsi.fr) seeks qualified candidates for one fully funded PhD position in the field of automatic speaker recognition. The research will be conducted in the framework of the ANR-funded project ODESSA (Online Diarization Enhanced by recent Speaker identification and Structured prediction Approaches) in partnership with EURECOM (France) and IDIAP (Switzerland).
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6-7 | (2015-11-15) 1 (W/M) researcher positions at IRCAM, Paris France
Position: 1 (W/M) researcher positions at IRCAM Starting: January 4th, 2016 Duration: 18 months Deadline for application: December, 1st, 2015
Description of the project: The goal of the ABC-DJ project (European H2020 ICT-19 project) is to develop advanced Audio Branding (recommending music for a trade-mark) technologies. For this, ABC-DJ will rely on Music Content and Semantic Analysis. Within this project, IRCAM will develop • new music content analysis algorithms (auto-tagging into genre, emotions, instrumentation, estimation of tonality and tempo) • new tools for advanced DJ-ing (audio quality measurement, segmentation into vocal parts, full hierarchical structure analysis, intelligent track summary, audio source separation).
Position description 201511ABCRES: For this project IRCAM is looking for a researcher for the development of the technologies of music content analysis and advanced DJ-ing. Required profile: • High Skill in audio signal processing (spectral analysis, audiofeature extraction, parameter estimation) (the candidate should preferably hold a PHD in this field) • High skill in machine learning (the candidate should preferably hold a PHD in this field) • High-skill in Matlab/Python programming, skills in C/C++ programming • Good knowledge of Linux, Windows, Mac-OS environments • High productivity, methodical works, excellent programming style. The hired Researchers will also collaborate with the development team and participate in the project activities (evaluation of technologies, meetings, specifications, reports).
Introduction to IRCAM: IRCAM is a leading non-profit organization associated to Centre Pompidou, dedicated to music production, R&D and education in sound and music technologies. It hosts composers, researchers and students from many countries cooperating in contemporary music production, scientific and applied research. The main topics addressed in its R&D department include acoustics, audio signal processing, computer music, interaction technologies and musicology. Ircam is located in the centre of Paris near the Centre Pompidou, at 1, Place Igor Stravinsky 75004 Paris.
Salary: According to background and experience
Applications: Please send an application letter with the reference 201511ABCRES together with your resume and any suitable information addressing the above issues preferably by email to: peeters at ircam dot fr with cc to vinet at ircam dot fr, roebel at Ircam dot fr.
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6-8 | (2015-11-13) Intership at Loria, Vandoeuvre-lès-Nancy, France Speech intelligibility: how to determine the degree of nuisance
General information
Supervisors
Irina Illina, LORIA, Campus Scientifique - BP 239, 54506 Vandoeuvre-lès-Nancy, illina@loria.fr
Patrick Chevret, INRS, 1 rue du Morvan, 54519 Vandoeuvre-lès-Nancy, patrick.chevret@inrs.fr
Motivations
The intelligibility of speech means the ability of a conversation to be understood by a listener located nearby. The level of speech intelligibility depends on several criteria: the level of ambient noise, the possible absorption of part of the sound spectrum, acoustic distortion, echoes, etc. The intelligibility of speech is used to assess the performance of telecommunication systems or absorption in rooms.
The speech intelligibility can be evaluated:
- subjectively: listeners hear several words or sentences and answer different questions (the transcription of sounds, the percentage of perceived consonants, etc.). The scores are the value of intelligibility ;
- objectively, without involving listeners, using acoustic measures: the index of speech intelligibility (speech transmission index, STI) and the interference level with speech.
Subjective measures are dependent of listeners and require a large number of listeners. This is difficult to achieve, especially when there are different types of environments. Moreover, it is necessary to evaluate this measure for each listener. Objective measures have the advantage of being automatically quantifiable and to be precise. However, which objective measures can measure the nuisance of the environment on the intelligibility of speech and people's health remains an open problem. For example, the STI index consists of measuring the energy modulation. But the energy modulation can be produced by the machines, yet it does not match the speech.
Subject
In this internship, we focus on the study of various objective measures of speech intelligibility. The goal is to find reliable measures to evaluate the level of nuisance of environment to speech understanding, to long-term mental health of people and to productivity. Some possible solutions consist to correlate the word confidence measure, noise measurement confidence and subjective measures of speech intelligibility. To develop these measures, the automatic speech recognition system will be used.
This internship will be performed through collaboration between our Multispeech team of LORIA and INRS (National Institute of Research and Safety). INRS works on professional risk identification, analysis of their impact on health and prevention. INRS has a rich corpus of recordings and subjective measures of speech intelligibility. This corpus will be used in the context of this internship. Our Multispeech team has great expertise in signal processing and has developed several methodologies for noise estimation. The Multispeech team developed the complete system of automatic speech recognition.
Required skills
Background in statistics and object-oriented programming.
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6-9 | (2015-11-15) 2 sujets de stage pour 2016 au LIA, Avignon portant sur les interactions vocales
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6-10 | (2015-11-18) PhD and Postdoctoral Opportunities in Multilingual Speech Recognition at Idiap, Martigny, Switzerland PhD and Postdoctoral Opportunities in Multilingual Speech Recognition
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6-11 | (2015-11-20) Ingénieur de recherche au LPL, Aix-en-Provence, France Le Laboratoire Parole et Langage à Aix-en-Provence propose un poste d'ingénieur de recherche à la mutation pour la campagne CNRS NOEMi d'hiver. Le détail du poste est ci-joint.
Résumé du profil : Le/la chef de projet assurera le traitement du signal (signaux acoustiques, kinématiques, physiologiques, électro-encéphalographiques, signaux vidéo), analyses statistiques des données multi-modales ; le développement de programmes pour le pré-traitement et le traitement du signal (filtrage, synthèse/resynthèse, transformations temps/fréquence, édition, extraction de paramètres, segmentation / annotation) et l'analyse statistique (ex. : modèles linéaires à effets mixtes, représentations graphiques, etc.).
Pour plus d'information, n'hésitez pas à contacter la Direction du LPL (noel.nguyen@lpl-aix.fr) ou le coordinateur du Centre d?Expérimentation sur la Parole (alain.ghio@lpl-aix.fr)
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6-12 | (2015-11-20) Postdoctoral position in speech intelligibility at IRIT Toulouse, France Title: Postdoctoral position in speech intelligibility Application deadline: 1/31/2016 Description: The decreasing mortality of Head and Neck Cancers highlights the importance to reduce the impact on Quality of Life (QoL). But, the usual tools for assessing QoL are not relevant for measuring the impact of the treatment on the main functions involved by the sequelae. Validated tools for measuring the functional outcomes of carcinologic treatment are missing, in particular for speech disorders. Some assessments are available for voice disorders in laryngeal cancer but there are based on very poor tools for oral and pharyngeal cancers involving more the articulation of speech than voice. In this context, the C2SI (Carcinologic Speech Severity Index) project proposes to develop a severity index of speech disorders describing the outcomes of therapeutic protocols completing the survival rates. There is a strong collaboration between linguists, phoneticians, speech therapists and computer science researchers, in particular those from the Toulouse Institute of Computer Science Research (IRIT), within the SAMoVA team (http://www.irit.fr/recherches/SAMOVA/). Intelligibility of speech is the usual way to quantify the severity of neurologic speech disorders. But this measure is not valid in clinical practice because of several difficulties as the familiarity effect of this kind of speech and the poor inter-judge reproducibility. Moreover, the transcription intelligibility scores do not accurately reflect listener comprehension. Therefore, our hypothesis is that an automatic assessment technic can measure the impact of the speech disorders on the communication abilities giving a severity index of speech in patients treated for head and neck and particularly for oral and pharyngeal cancer. The main objective is then to demonstrate that the C2SI, obtained by an automatic speech processing tool, produces equivalent or superior outcomes than a score of speech intelligibility obtained by human listeners, in terms of QoL foreseeing the speech handicap, after the treatment of oral and/or pharyngeal cancer. The database is actually recorded at the Institut Universitaire du Cancer in Toulouse with CVC pseudo-words, readings, short sentences focusing on prosody and spontaneous descriptions of pictures. Roadmap to develop an automatic system that will evaluate the intelligibility of impaired speech: - Study existing SAMoVA technologies and evaluate them with the C2SI protocol, - Find relevant features with the audio signal that support intelligibility, - Merge those features to obtain the C2SI, - Correlate it with the speech intelligibility scores obtained by human listeners, - Study in which way the features support understandability as well. Skills: For this project, we are looking for one candidate with a PhD degree in the areas of machine learning, signal processing, and also with: programming skills, scientific rigour, creativity, good publication record, excellent communication skills, enjoying teamwork... Salary and other conditions of employments will follow CNRS (French National Center for Scientific Research) standard rules for non-permanent researchers, according to the experience of the candidate. Location: the work will be conducted in the SAMoVA team of the IRIT, Toulouse (France). Contact: Jérôme Farinas jerome.farinas@irit.fr , Julie Mauclair julie.mauclair@irit.fr Duration: 12 to 24 months Candidates should email a letter of application, a detailed CV including a complete list of publications, and source code showcasing programming skills if available.
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6-13 | (2015-12-02) Master2 position at Multispeech Team, LORIA (Nancy, France)
Master2 position at Multispeech Team, LORIA (Nancy, France) Automatic speech recognition: contextualisation of the language model based on neural networks 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 student will address the contextualization of the recognition module through the dynamic adjustment of the language model in order to make it more accurate. Subject Current systems for automatic speech recognition are based on statistical approaches. They require three components: an acoustic model, a lexicon and a language model. This stage will focus on the language model. The language model of our recognition system is based on a neural network learned from a large corpus of text. The problem is to re-estimate the language model parameters for a new proper name depending on its context and a small amount of adaptation data. Several tracks can 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 student will develop a new module whose function is to integrate new proper names in the language model. Required skills Background in statistics and object-oriented programming. Localization and contacts Loria laboratory, Multispeech team, Nancy, France Irina.illina@loria.frdominique.fohr@loria.fr Candidates should email a detailed CV and diploma References [1] J. Gao, X. He, L. Deng Deep Learning for Web Search and Natural Language Processing , Microsoft slides, 2015 [2] X. Liu, Y. Wang, X. Chen, M. J. F. Gales, and P. C. Woodland. Efficient lattice rescoring using recurrent neural network langage models, in Proc. ICASSP, 2014, pp. 4941?4945. [3] M. Sundermeyer, H. Ney, and R. Schlüter. From Feedforward to Recurrent LSTM Neural Networks for Language Modeling. IEEE/ACM Transactions on Audio, Speech, and Language Processing, volume 23, number 3, pages 517-529, March 2015.
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6-14 | (2015-12-03) ,PostDoc position in the field of automatic speaker recognition (ASR) at Idiap, Martigny, Switzerland The Idiap Research Institute (http://www.idiap.ch ) seeks qualified candidates for one
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6-15 | (2015-12-12) Ph.D. Position in Speech Recognition at Saarland University, Germany Ph.D. Position in Speech Recognition at Saarland University
The spoken Language Systems group from Saarland University in Germany anticipates the availability of a Ph.D. position in the area of speech recognition. This position is part of the Horizon 2020 project MALORCA, a research project on long term unsupervised adaptation of the acoustic and the language models of a speech recognition system. The research will be carried out together with a European consortium of high-profile research institutes and companies. Requirements:
Salary:
Research at Saarland University: Saarland University is one of the leading European research sites in computational linguistics and offers an active, stimulating research environment. Close working relationships are maintained between the Departments of Computational Linguistics and Computer Science. Both are part of the Cluster of Excellence, which also includes the Max Planck Institutes for Informatics (MPI-INF) and Software Systems (MPI-SWS) and the German Research Center for Artificial Intelligence (DFKI).
Each application should include: Curriculum Vitae including a list of relevant research experience in addition to a list of publications (if applies).
Applications (documents in PDF format in a single file) should be sent no later than, Sunday, January 10th to: sekretariat@LSV.Uni-Saarland.De
Further inquiries regarding the project should be directed to: Youssef.Oualil@LSV.Uni-Saarland.De or Dietrich.Klakow@LSV.Uni-Saarland.De
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6-16 | (2015-12-12) PostDoc Position in Speech Recognition at Saarland University, Germany PostDoc Position in Speech Recognition at Saarland University
The spoken Language Systems group from Saarland University in Germany anticipates the availability of a PostDoc position in the area of speech recognition. This position is part of the Horizon 2020 project MALORCA, a research project on long term unsupervised adaptation of the acoustic and the language models of a speech recognition system. The research will be carried out together with a European consortium of high-profile research institutes and companies. Requirements:
Salary:
Research at Saarland University: Saarland University is one of the leading European research sites in computational linguistics and offers an active, stimulating research environment. Close working relationships are maintained between the Departments of Computational Linguistics and Computer Science. Both are part of the Cluster of Excellence, which also includes the Max Planck Institutes for Informatics (MPI-INF) and Software Systems (MPI-SWS) and the German Research Center for Artificial Intelligence (DFKI).
Each application should include: Curriculum Vitae including a list of relevant research experience in addition to a list of publications (if applies).
Applications (documents in PDF format in a single file) should be sent no later than, Sunday, January 10th to: sekretariat@LSV.Uni-Saarland.De
Further inquiries regarding the project should be directed to: Youssef.Oualil@LSV.Uni-Saarland.De or Dietrich.Klakow@LSV.Uni-Saarland.De
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6-17 | (2015-12-14) Ussher Assistant Professor in Irish Speech and Language Technology (IRL) School of Linguistic, Speech and Communication Sciences
Ussher Assistant Professor in Irish Speech and Language Technology
The Ussher Assistant Professor in Irish Speech and Language Technology in the School of Linguistic, Speech and Communication Sciences will lead the development of the Irish Speech and Language Technology Research Centre (ITUT). This research will embed innovative speech and language technology resources in pedagogically sound language learning applications and in assistive technologies, enhancing teaching and learning of Irish nationally and globally. The appointee will have a strong background in speech-language technology, a specialisation in technology-assisted language learning, and a track record in linguistics research. Outreach and dissemination are key features of this post. The appointee will contribute to teaching and research supervision. A high level of competence in Irish language is desirable.
Appointment will be made at a maximum of the 8th point of the New Assistant Professor Merged Salary Scale.
Candidates wishing to discuss the post informally should contact: Professor Elaine Uí Dhonnchadha, E-mail: uidhonne@tcd.ie
Applications will only be accepted through e-recruitment
Further information and application details can be found at: https://jobs.tcd.ie
Closing date for receipt of completed applications is: no later than 12 Noon GMT on Thursday 14th January 2016
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6-18 | (2015-12-16) Stage à Avignon, France: Synchronisation automatique de sous-titrages pour le spectacle vivant Sujet de stage Master « Synchronisation automatique de sous-titrages pour le spectacle vivant » Encadrant : Jean-François Bonastre (jean-francois.bonastre@univ-avignon.fr) Ce stage a pour objet de réaliser une étude de faisabilité pour un dispositif de synchronisation automatique de sous-titrages pour le spectacle vivant et, plus particulièrement, pour le théâtre. Les textes intégraux initiaux correspondant à la pièce jouée sont ramenés à des sous-titres de longueur plus réduite, pour permettre un affichage et une lecture en temps réel sur une tablette ou des lunettes de réalité virtuelle. Plusieurs versions des sous-titres sont réalisées dans plusieurs langues. Ces sous-titres sont manuellement synchronisés avec le texte de référence. L’objectif principal visé par le projet est de permettre aux théâtres français de pouvoir proposer leurs programmations à des publics non francophones et d’ouvrir ainsi l’ensemble du répertoire théâtral en langue française aux 80 millions de visiteurs étrangers qui viennent chaque année en France. Le travail demandé consiste à réaliser une maquette fonctionnelle de l’application de synchronisation automatique. Basée sur la plateforme ALIZE de reconnaissance du locuteur, cette application cherchera à reconnaitre en temps réel l’acteur en train de parler et utilisera la succession des prises de parole pour synchroniser le live avec les sous-titres. L’application sera développée en C++ et en python. Des compétences solides en développement logiciel sont demandées. Des connaissances en traitement automatique de la parole, en traitement du signal et en apprentissage automatique sont également souhaitées, sans que cette liste soit impérative ou exclusive. Ce projet est présenté en partenariat étroit avec un centre spécialisé dans les applications numériques pour le monde du théâtre. Ce partenaire apportera ses compétences, les données servant à réaliser et à évaluer la maquette ainsi que les théâtres partenaires (déjà identifiés) volontaires pour tester l’application « in situ ». Une poursuite en thèse de Doctorat est souhaitée. Le stage est prévu pour le premier semestre 2016.
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6-19 | (2015-12-17) Faculty position at the Associate,Professor level in machine learning, Telecom Paristech, France, Faculty position at the Associate,Professor level in machine learning
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6-20 | (2015-12-19) GENERAL EDUCATION INSTRUCTORS/Speech Communications , SC-Columbia, USA
Job Overview JOB TITLE: GENERAL EDUCATION INSTRUCTORS/Speech Communications JOB TYPE: Part-Time LOCATION: US-SC-COLUMBIA DEPARTMENT: Academics SUPERVISORY: No TRAVEL REQ’D: No Job Description If you’re a dedicated, enthusiastic, experienced speech communications professional, preferably with teaching experience, who believes in the power of sharing your knowledge, motivating others, and putting students first, we want to hear from you! We’re looking for talented general education instructors to join the academic team at our Columbia Campus for our day and evening class sessions. These individuals will report to the Campus’s Degree Program Department Chairperson. Essential Duties/Responsibilities: Educates and trains students in his or her field of expertise using accepted and approved instructional methodology. Prepares lesson plans using industry-standard approaches (e.g., multimedia, adult learning methodology). Teaches courses as assigned, instructs and evaluates students, develops students’ skills and encourages growth, and tracks their attendance, performance, and grades. Participates in various administrative activities (e.g., attends faculty/staff meetings or in-service meetings). Participates in graduation ceremonies, as assigned. Participates regularly in continuing professional development activities. Performs other duties or special projects as assigned. Education/Experience Needed: A related master's degree from a regionally accredited institution, with 18 or more graduate hours in speech, speech communications, or mass communications. A minimum of four (4) years of experience in a related field. Registration, license, or certification as required by the state or accrediting agencies. Excellent interpersonal, organizational, and communications skills a must. Computer literacy and teaching experience desired. Learn more about us at Remington College – Columbia Campus. We offer a competitive salary, along with a comprehensive benefits package that includes health, dental, disability, life, vision, 401K, and flexible spending accounts, for full-time employees. How to Apply Help us train tomorrow’s work force! Qualified candidates: Please click the APPLY NOW button. Or, you may email your résumé and cover letter for consideration to audrey.breland@remingtoncollege.edu. We provide reasonable accommodation where appropriate to applicants with disabilities.
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6-21 | (2015-12-26) POST-DOC OPENING IN SPEECH INTELLIGIBILITY AT IRIT-TOULOUSE, FRANCE POST-DOC OPENING **************************************************************** Title: Postdoctoral position in speech intelligibility Application deadline: 1/31/2016 Description: The decreasing mortality of Head and Neck Cancers highlights the importance to reduce the impact on Quality of Life (QoL). But, the usual tools for assessing QoL are not relevant for measuring the impact of the treatment on the main functions involved by the sequelae. Validated tools for measuring the functional outcomes of carcinologic treatment are missing, in particular for speech disorders. Some assessments are available for voice disorders in laryngeal cancer but there are based on very poor tools for oral and pharyngeal cancers involving more the articulation of speech than voice. In this context, the C2SI (Carcinologic Speech Severity Index) project proposes to develop a severity index of speech disorders describing the outcomes of therapeutic protocols completing the survival rates. There is a strong collaboration between linguists, phoneticians, speech therapists and computer science researchers, in particular those from the Toulouse Institute of Computer Science Research (IRIT), within the SAMoVA team (http://www.irit.fr/recherches/SAMOVA/). Intelligibility of speech is the usual way to quantify the severity of neurologic speech disorders. But this measure is not valid in clinical practice because of several difficulties as the familiarity effect of this kind of speech and the poor inter-judge reproducibility. Moreover, the transcription intelligibility scores do not accurately reflect listener comprehension. Therefore, our hypothesis is that an automatic assessment technic can measure the impact of the speech disorders on the communication abilities giving a severity index of speech in patients treated for head and neck and particularly for oral and pharyngeal cancer. The main objective is then to demonstrate that the C2SI, obtained by an automatic speech processing tool, produces equivalent or superior outcomes than a score of speech intelligibility obtained by human listeners, in terms of QoL foreseeing the speech handicap, after the treatment of oral and/or pharyngeal cancer. The database is actually recorded at the Institut Universitaire du Cancer in Toulouse with CVC pseudo-words, readings, short sentences focusing on prosody and spontaneous descriptions of pictures. Roadmap to develop an automatic system that will evaluate the intelligibility of impaired speech: - Study existing SAMoVA technologies and evaluate them with the C2SI protocol, - Find relevant features with the audio signal that support intelligibility, - Merge those features to obtain the C2SI, - Correlate it with the speech intelligibility scores obtained by human listeners, - Study in which way the features support understandability as well. Skills: For this project, we are looking for one candidate with a PhD degree in the areas of machine learning, signal processing, and also with: programming skills, scientific rigour, creativity, good publication record, excellent communication skills, enjoying teamwork... Salary and other conditions of employments will follow CNRS (French National Center for Scientific Research) standard rules for non-permanent researchers, according to the experience of the candidate. Location: the work will be conducted in the SAMoVA team of the IRIT, Toulouse (France). Contact: Jérôme Farinas jerome.farinas@irit.fr , Julie Mauclair julie.mauclair@irit.fr Duration: 12 to 24 months Candidates should email a letter of application, a detailed CV including a complete list of publications, and source code showcasing programming skills if available. Julie Mauclair
Assistant Professor
IRIT
Toulouse, France
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6-22 | (2016-01-08) Software/research engineer at LIMSI, Orsay, France LIMSI (www.limsi.fr) is looking for a software/research engineer to work on the
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6-23 | (2016-01-09) Ingénieur R&D en CDI pour le département de la recherche de l'Ina, Paris
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6-24 | (2016-01-10) TTS research engineer at Nuance Shanghai, China TTS Research Engineer – Nuance Shanghai, China Reporting to TTS manager, the research engineer will conduct innovative research and development with focus on TTS Front-end or Back-end technologies. Responsibilities: -As part of the TTS R&D organization, you will be contributing to the development of text-to-speech technology for all types of markets and platforms with focus on Asian languages. Representative tasks will include: - Improve TTS front-end or back-end with algorithm innovations. - Develop product and tools, - Maintenance and support (PS / Bug fixes) - Active contribution to the improvement of all QA processes Qualification: Native Mandarin, Good English, additional Asia languages is a plus - Experience with TTS research and development - Experience with NLP research and development - Excellent scripting / programming skills - Experience with SCM tools - Self-starter, team player - Passion for quality - Innovative and curious - 'free thinker' - Master degree in EE/CS/Comp. Ling (or similar) Please send your resume application to eva.li@nuance.com
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6-25 | (2016-01-11) Stage Master 2 de Recherche en Traitement automatique des langues/Extraction d'information, LIMSI Orsay, France Stage Master 2 de Recherche en Traitement automatique des langues/Extraction d'information
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6-26 | (2016-01-14) Technical Engineer / Scientist at ELDA
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6-27 | (2016-01-20) Language Engineer at the TTS team of Google The TTS team at Google is looking for a Language Engineer to help improve synthesis in English and French. Based in Google London offices, you will be helping with technical tasks involved in creating a speech synthesizer. This includes: 1. Developing rules for a text normalization system; 2. Large scale data mining; 3. Customizing language building tools for English and French. 4. Text-to-Speech quality evaluation and testing Requirements: 1. Recent Computer Science graduate or closely related discipline 2. Native-level speaker in French/English and fluent in English. 3. Proficiency in Unix/Version Control System and a modern programming language (Python/C++ preferred) 4. Ability to build and understand regular expressions 5. Interest in data mining and natural language processing a plus This is an opportunity to work on cutting edge technology in a dynamic team of world-class experts. Project duration: 6-11 months (with potential for extension) **This is not a permanent position but a contract position through an employment agency. Applicants must be currently authorized to work in the UK.** For immediate consideration, please email your CV and cover letter in English (PDF format preferred) with 'Language Engineer English or French' in the subject line. Application Deadline: (Open until filled)
Email Address for Applications: tts_jobs@google.com
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6-28 | (2016-01-21) Researcher in machine learning at Reykjavik University, Iceland Machine learning and language technology
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6-29 | (2016-01-25) Poste de MCF au LIG (équipe GETALP) pour la recherche et au département I3L (informatique pour les lettres, langues et langage) de l'Univ. Grenoble Alpes (France) Poste de MCF au LIG (équipe GETALP) pour la recherche et au département I3L (informatique pour les lettres, langues et langage) de l'Univ. Grenoble Alpes (UGA= université grenobloise fusionnée depuis 1/1/2016 regroupant les 3 établissements U. Joseph Fourier, U. Pierre Mendes-France et U. Stendhal) pour l'enseignement.
Short description of the position in English
'The associate professor position concerns informatics and speech processing. The selected candidate will join the GETALP group of LIG laboratory and reinforce the speech / spoken language processing axis.
Teaching will be given in student programs covering human and social sciences. Intitulé du poste pour la publication : Informatique et traitement de l?oral
Composante ou service : département I3L (informatique pour les lettres, langues et langage)
Numéro du poste* : 0209 Section CNU : 27-07 Unité de recherche ou unité mixte de recherche de rattachement (nom et n°) : LIG UMR 5217
Localisation du poste : Grenoble Mots-clés renseignés pour la recherche du poste dans Galaxie par les candidats
Traitement automatique des langues Traitement de la Parole Plurilinguisme Interaction non-verbale Communication homme-machine Profil Enseignement Les objectifs pédagogiques sont de préparer l?ensemble des étudiants de Lettres-Langues-Langage à l?intégration du numérique dans leurs filières afin de faire face à la diversité, la synergie et l?évolution des services numériques et dispositifs d'interaction centrés-humains et des contextes d'usage. Les besoins en enseignement du département I3L se situent dans les domaines suivants : TAL, web dynamique, corpus électroniques, ingénierie linguistique, évaluation des outils du TAL, bureautique pour Lettres, Langues, Langage. Plus spécifiquement dans les masters, les enseignements devront être au plus près des activités de recherche et répondre aussi bien aux besoins de l?insertion professionnelle qu?à l?innovation en R&D. Filières de formation concernées : ? Licence : Globalement dans le cadre des cours d'informatique (toutes les mentions sont concernées), plus spécifiquement dans le cadre du module « Métiers des humanités numériques »
? Master : Globalement dans les enseignements liés à l?informatique des masters des deux UFR LLASIC ET LE et plus spécifiquement dans le master Sciences du langage, spécialité Industries de la Langue (IDL) ;
La personne recrutée devra avoir une connaissance du tissu industriel du secteur et de son devenir, lui permettant de travailler à une bonne identification de compétences en adéquation avec les évolutions rapides des entreprises du domaine. Profil Recherche La personne recrutée intégrera l?équipe GETALP du LIG qui s'intéresse à tous les aspects théoriques, méthodologiques et pratiques de la communication et du traitement de l'information multilingue (écrite ou orale). GETALP porte par ailleurs un intérêt spécifique aux situations d?interactions et aux contextes atypiques (langues peu-dotées, locuteurs atypiques, relation sociale endommagée, etc.) en prenant en compte la diversité des langues, des locuteurs, des cultures et des relations socio-affectives. La pluridisciplinarité de GETALP (informaticiens, linguistes, phonéticiens, traducteurs, roboticiens, etc.) croise les approches expertes vs. empiriques et s?appuie sur des corpus langagiers de grande taille tout en développant des corpus annotés sur des hypothèses théoriques riches (« beautiful data »). Les aspects méthodologiques (évaluation, expérimentation écologique dans les plateformes Domus, le FabMSTIC ou in situ, éthique) sont centraux, en particulier dans le transfert vers les partenaires industriels. La personne recrutée devra permettre de renforcer les aspects interdisciplinaires de la recherche et participera à l?élaboration des méthodes d?évaluations dans une démarche éthique, concernant les processus d?expérimentation et les conséquences sociétales des innovations potentielles. Un point essentiel sera d?entretenir et développer les collaborations avec les autres équipes du LIG, autant sur les aspects informatiques et méthodologiques que sur les situations d?observation ou les applications. Plus largement la personne recrutée sera incitée à enrichir les collaborations avec les autres laboratoires impliqués dans le pôle de recherche ALLSHS de l?UGA.
Activités administratives La personne recrutée pourra avoir en charge la responsabilité des enseignements I3L en licence, et participer aux responsabilités administratives dans l?UFR LLASIC. Contact pour la recherche : BESACIER, Laurent Laurent.Besacier@imag.fr Contact pour l?enseignement AUBERGE, Véronique Veronique.Auberge@u-grenoble3.fr dates audition: 23 Mai 2016
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6-30 | (2016-01-30) PhD position in AVSR, Trinity College Dublin, Ireland PhD position in AVSR at Trinity College Dublin, Ireland With a link to this advert: http://adaptcentre.ie/careers/tcd_phd_IG_PhD5_D.pdf
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