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ISCApad #178 |
Wednesday, April 10, 2013 by Chris Wellekens |
6-1 | (2012-10-05) ASSOCIATE RESEARCH SCIENTIST POSITION at ETS Princeton, NJ, USA ASSOCIATE RESEARCH SCIENTIST POSITION Speech Educational Testing Service Headquartered in Princeton, NJ, ETS is the world’s premier educational measurement institution and a leader in educational research. As a nonprofit corporation and an innovator in developing tests for clients in education, government, and business we are dedicated to advancing educational excellence for the communities we serve. ETSs Research & Development division has an opening for a researcher in the NLP & Speech Group. The Group currently consists of about 15 Ph.D. level research scientists in areas related to NLP and speech. Its main focus is on foundational research as well as on development of new capabilities to automatically score written and spoken test responses in a wide range of ETS test programs including TOEFL(R)iBT and GRE(R). PRIMARY RESPONSIBILITIES Provide scientific and technical skills in conceptualizing, designing, obtaining support for, conducting, managing, and disseminating results of research projects in the field of speech technology, or portions of largescale research studies or programs in the same field. Develop and/or modify speech theories to conceptualize and implement new capabilities in automated scoring and speech-based analysis and evaluation systems which are used to improve assessments, learning tools and test development practices. Apply scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services. Develop and oversee the conduct of selected portions of research proposals and project budgets. Design and conduct complex scientific studies functioning as an expert in major facets of the projects. Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget. Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles. Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators. REQUIREMENTS A Ph.D. in Language Technologies, Natural Language Processing, Computer Science or Electrical Engineering, with strong emphasis on speech technology and preferably some education in linguistics is required. Evidence of substantive research experience and/or experience in developing and deploying speech capabilities is required. Demonstrable contributions to new and/or modified theories of speech processing and their implementation in automated systems. Demonstrable expertise in the application of speech recognition systems and fluency in at least one major programming language (e.g., Java, Perl, C/C++, Python). HOW TO APPLY Please apply online at www.ets.org/careers – position #124337. ETS offers competitive salaries, outstanding benefits, a stimulating work environment, and attractive growth potential. ETS is an Equal Opportunity, Affirmative Action Employer.
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6-2 | (2012-10-05) Researcher in Speech Technology at Vicomtech-IK4, San Sebastian, Spain Researcher in Speech Technology
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6-3 | (2012-10-10) Dolby Research Beijing looking for world-class talent!
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6-4 | (2012-10-11) Faculty Position at the Center for Spoken Language Understanding, Portland, Oregon
The Institute on Development & Disability/Center for Spoken Language Understanding invites applications at all ranks for a faculty position in Natural Language Processing, to include technologies for analysis of speech, language, or both. Special interest in applications to behavioral manifestations of neurological disorders is essential.
The primary interest is to extend our existing program in developing behavioral technologies that allow early detection and remediation of a wide range of neurological disorders, in including Autism and Parkinson’s.
The Institute on Development & Disability/ Center for Spoken Language Understanding is at the forefront of this new, exciting area of research. The faculty member will be expected to teach courses supporting the research program and appropriate background areas such Machine Learning and Computational Linguistics. We seek a researcher with a well-developed program in Natural Language Processing, to collaborate with the CSLU team and with clinicians throughout OHSU. The appointee will be expected to maintain an independent, extramurally funded research program.
Requirements:
Please contact: Jan van Santen, vansantj@ohsu.edu
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6-5 | (2012-10-11) Research Programmer at the College of Pharmacy at the University of Minnesota Brief Description: The College of Pharmacy at the University of Minnesota is seeking a talented, pro-active and innovative individual for a Research Programmer position to work on several projects in Center for Clinical and Cognitive Neuropharmacology (C3N). C3N is engaged in conducting interdisciplinary research focused on cognitive effects of medications and neurodegenerative disorders such as Alzheimer's disease. Computerized assessment is used to measure these cognitive effects. The successful candidate for this position will be responsible for a variety of computer-related tasks including creating and maintaining innovative computer-based neuropsychological testing applications that involve spontaneous speech and language collection and analysis. The successful candidate will also be responsible for creating and maintaining databases used to store and organize experimental samples and web-enabled interfaces to the databases and data analysis tools. The successful candidate will also be expected to work with graduate and undergraduate students on specific programming and research projects to meet the needs of the Center.
Full Description is available here on the official University of Minnesota job posting site:
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6-6 | (2012-10-12) Postdoctoral research position: Automatic identifcation of South African languages Postdoctoral research position: Automatic identifcation of South African languages U.Stellenbosch South Africa
A postdoc position focussing on automatic language identification for the eleven official languages of South Africa is available in the Digital Signal Processing Group of the Department of Electrical and Electronic Engineering at the University of Stellenbosch. Specific project objectives include the developemt of a research system, the production of associated publishable outputs, and the development of a web-based demonstrator. The position is part of a bilateral project grant between the Netherlands and South Africa. Applicants should hold a PhD in the field of Electronic/Electrical Engineering, Information Engineering, or Computer Science, or other relevant disciplines. Suitable candidates must have strong computer programming, analytical and mathematical skills, and be familiar with a Linux computing environment. Candidates must also be self-motivated and able to work independently. 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. The proposed starting date is not later than 15 January 2013. 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.
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6-7 | (2012-10-18) Dolby’s technology group in Beijing looking for software engineers! Dolby’s technology group in Beijing looking for software engineers!
Job Title: Embedded SW-Engineer (Audio)
Summary DescriptionThis position is in the Engineering organization of Dolby Laboratories and located in Beijing, China. The main focus of this position is to implement Dolby’s audio technologies, including creating the reference code, porting to the embedded platforms such as ARM cores or TI DSPs. The position requires a deep knowledge in signal processing algorithms, fixed-pointed algorithms and optimization technical including the use of assembly language, as well as an excellent understanding of DSP architectures.
We are looking for a highly motivated individual for whom working with different tool chains under various operating systems in hardware close environments is fun and not a challenge.
The candidate will be part of the engineering team in Beijing and work closely together with other Dolby engineering entities in the US, Germany and Australia. We expect the candidate to build-up expert knowledge on highly efficient Dolby audio engines. Working in an international environment requires excellent verbal and written English communication skills. Essential Job Functions:
Teamwork & Communications
Education, Skills, Abilities, and Experience:
Please send your CV to cv.engineerin.beijing@dolby.com
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6-8 | (2012-10-19) Post-doc at LABEX EPL Paris 3 Dans le cadre du LABEX EFL 'Empirical foundations of Linguistics' (http://www.labex-efl.org/), un projet d’une durée de 10 ans initié en 2011, nous proposons un projet post-doctoral de 6 mois à temps complet dans l’opération de recherche « Assessing phonetic and phonological complexity in motoric speech disorders ». Le candidat participera à une recherche sur la complexité phonétique et phonologique dans le contexte des troubles moteurs de la parole. Il travaillera sous la responsabilité de Cécile Fougeron et en collaboration avec le Dc Lise Crevier-Buchman au Laboratoire de Phonétique et Phonologie, à Paris . Le candidat sera titulaire d’un doctorat en phonétique ou en Speech and Hearing Sciences, avec une expérience en phonétique clinique. Une formation en phonétique acoustique et dans l’expérimentation avec des patients est requise. Une expérience en investigation physiologique avec l’ultrason sera un plus. Les dossiers de candidatures contiendront les documents suivants et seront envoyés à martine.adda-decker_at_univ-paris3.fr avant le 21/11/2012 :
Pour plus d'informations, voir http://www.labex-efl.org/?q=fr/node/136 Contact: Cécile Fougeron (LPP-P3)
Adresse du responsable: cecile.fougeron@univ-paris3.fr
Université: Université Paris 3
Niveau: chercheur postdoctorant
Durée: 06 mois
Salaire: 12 000€ net / 6 mois
Spécialités: phonétique clinique, acoustique, échographie linguale, dysarthrie
Date limite de candidature: 21 novembre 2012
Adresse pour la candidature: martine.adda-decker_at_univ-paris3.fr
Référence de candidature: EFL-PPC5
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6-9 | (2012-10-20) Large-Scale Audio Indexing Researchers/Engineers: 2 W/M positions at IRCAM-Paris Job Openings: Large-Scale Audio Indexing Researchers/Engineers: 2 W/M positions at IRCAM
Starting : January, 2013
Duration : 18 months
Position description A
The hired Researcher will be in charge of the research and the development of scalable technologies for supervised learning (i.e. scaling GMM, PCA or SVM algorithms) to be applicable to millions of annotated data.
He/she will then be in charge of the application of the developed technologies for the training of large-scale music genre and music mood models and their application to large-scale music catalogues.
Required profile for A:
Position description B
The hired Engineer/Researcher will be in charge of the development of the framework for scalable storage, management and access of distributed data (audio and meta-data). He/she will be also in charge of the development of scalable search algorithms.
Required profile for B:
The hired Engineers/Researchers A and B 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, 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 together with your resume and any suitable information addressing the above issues preferably by email to: peeters_a_t_ircam dot fr with cc to vinet_a_t_ircam dot fr, roebel_at_ircam_dot_fr
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6-10 | (2012-11-03) Research Scientist at Yandex Zurich Title: Research Scientist
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6-11 | (2012-11-08) Postdoc position at IBM Language and Knowledge Center, Trento , Italy The newly established IBM Language and Knowledge Center, Trento , Italy has a postdoc position in the following area: -Natural Language Dialog The postdoc scholar will be part of a Êresearch project aiming at designing machines that interact with humans and support them in complex and large scale knowledge and decision making tasks. The team includes researchers Êfrom IBM and the TrentoRise Human Language Technology Center founded by the University of Trento and FBK. Candidates with strong research background in at least one of the following: - Conversational Dialogue Systems - Statistical models of Dialogue - Natural Language Understanding - Machine Learning - Question Answering Systems are invited to apply. The official postdoc position application site: http://www.trentorise.eu/call-for-participation/bando-di-selezione-l-call-po sitions If you would like to enquiry about the position send an email along with the CV addressed to Prof. Giuseppe Riccardi sisl-jobs@disi.unitn.it Subject: Postdoc Position at IBM, Trento Deadline: February 5, 2013
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6-12 | (2012-10-12) PhD position on The influence of robots on the development of language, New Zealand PhD Position: The influence of robots on the development of language
Job Posting
Project description
The ‘Wordovators’ project is a three-year project funded by the John Templeton Foundation. The project will conduct large-scale experiments in the form of computerized word games. These games will be designed to probe the factors underpinning word creation and creativity, and how these develop through the life-span. One strand of the project will probe particular issues surrounding interactions between people and humanoid Robots. How are new words created and adopted in contexts involving such interactions? This PhD position is for a highly motivated student to join the project team, and conduct work that explores the ways that robots might shape human languages. These studies will analyze the factors and processes that might contribute to the influence of robots on the vocabularies of English and of artificial languages in imaginary worlds.
This project is a collaboration between University of Canterbury, New Zealand and Northwestern University, USA. The PhD candidate will enroll for a PhD degree in the HIT Lab NZ at University of Canterbury, and will be primarily supervised by Dr Christoph Bartneck. (the HIT Lab NZ). Other associated faculty are Professor Jen Hay (NZILBB), Janet Pierrehumbert (Northwestern University / Adjunct Professor NZILBB), and Professor Stephanie Stokes (NZILBB). The PhD student will be encouraged to regularly visit Northwestern University.
Your skillsYou should have an interest in human language and have a strong background in robotics or computer science. The HIT Lab NZThe Human Interface Technology Laboratory New Zealand (HIT Lab NZ) is world leading research institutions developing and commercializing technology that improves human computer interaction. The HIT Lab NZ has over 50 staff and students and has extensive experience in Human Computer Interaction and Science & Technology Studies. The HIT Lab NZ is located at the University of Canterbury in Christchurch, New Zealand. The University of Canterbury has the top Engineering School in New Zealand, including a highly ranked Department of Computer Science. For more information about the HIT Lab NZ see http://www.hitlabnz.org/.
NZILBBThe HIT Lab NZ at the University of Canterbury is affiliated with the New Zealand Institute of Language, Brain and Behaviour (NZILBB). NZILBB is a multi-disciplinary centre dedicated to the study of human language. The researchers come from a wide range of disciplines, forging connections across linguistics, speech production and perception, language acquisition, language disorders, social cognition, memory, brain imaging, cognitive science, bilingual education, and interface technologies. More information is available at: http://www.nzilbb.canterbury.ac.nz/.
Christchurch
Christchurch is the second largest city in New Zealand and offers an exciting and easy lifestyle for students. It is the most affordable major city to live in. It is easy to get around whether you are biking, walking, driving or using the excellent public transport system. Christchurch also offers outstanding opportunities for outdoor activities, and is close to both surf beaches and ski-fields. Appointment and Scholarship SupportThe PhD scholarship is full time for a duration of three years with an annual scholarship of $25,000 NZD. The scholarship will also cover the tuition fees. The research in this project must be concluded with writing a PhD thesis within the Human Interface Technology PhD program of the HIT Lab NZ. For more information about the PhD program in Human Interface Technology, please see http://www.hitlabnz.org/index.php/education/phd-program. Further Information and ApplicationFurther information can be obtained by contacting Christoph Bartneck (christoph.bartneck@canterbury.ac.nz). Information about the HIT Lab NZ is available at: http://www.hitlabnz.org. Please upload your application as one PDF file at http://www.hitlabnz.org/index.php/jobs/job/37/ Your application must include a letter explaining your specific interest in the project, an extensive curriculum vitae, your academic records, and a list of two references. Applications will be accepted until November 15th, 2012 or until position is filled.
International applicants will be required to arrange for their NZ student visa after an offer of a place. Please check http://www.immigration.govt.nz for information about what type of visa might be most suitable and the process of acquiring it. The university has various types of accommodation available on campus. Please check http://www.canterbury.ac.nz/accom/ for information about the options and prices. International students should also consult the International Student website at http://www.canterbury.ac.nz/international/ to learn about the cost of living, fees, and insurances.
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6-13 | (2012-11-15) Faculty positions at CSLP at the Johns Hopkins University in Baltimore, USA The Center for Language and Speech Processing at the Johns Hopkins University in Baltimore, USA,
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6-14 | (2012-11-26) INRIA-Internship for Master2 Students INRIA-Internship for Master2 Students Title: Speech analysis for Parkinson's disease detection Description: Parkinson's disease (PD) is one of the most common neurodegenerative disorders and its clinical diagnosis, particularly early one, is still a difficult task. Recent research has shown that the speech signal may be useful for discriminating people with PD from healthy ones, based on clinical evidence which suggests that the former typically exhibit some form of vocal disorder. In fact, vocal disorder may be amongst the earliest PD symptoms, detectable up to five years prior to clinical diagnosis. The range of symptoms present in speech includes reduced loudness, increased vocal tremor, and breathiness (noise). Vocal impairment relevant to PD is described as dysphonia (inability to produce normal vocal sounds) and dysarthria (difficulty in pronouncing words). The use of sustained vowels, where the speaker is requested to sustain phonation for as long as possible, attempting to maintain steady frequency and amplitude at a comfortable level, is commonplace in clinical practice. Research has shown that the sustained vowel “aaaaa” is sufficient for many voice assessment applications, including PD status prediction. The first goal of this internship is to implement/improve some state-of-the-art algorithms for dysphonia measures and use them within an appropriate classifier (like SVM) to discriminate between disordered and healthy voices. These measures are based on linear and nonlinear speech analysis and are well documented in [1]. The experiments will be carried on on the well established Kay Elemetrics Disordered Voice Database ( http://www.kayelemetrics.com/). The second goal is to try to develop new dysphonia measures based on novel nonlinear speech analysis algorithms recently developed in the GeoStat team [2]. These algorithms have indeed shown significant improvements w.r.t. state-of-the-art techniques in many applications including speech segmentation, glottal inverse filtering and sparse modeling. The work of this internship will be conducted in collaboration with Dr. Max Little (MediaLab of MIT and Imperial College of London) and should lead to a PhD fellowship proposition. References: [1] A. Tsanas, M.A. Little, P.E. McSharry, J. Spielman, L.O. Ramig. Novel speech signal processing algorithms for high-accuracy classification of Parkinson’s disease. IEEE Transactions on Biomedical Engineering, 59(5):1264-1271. 2012 [2] PhD thesis of Vahid Khanagha. INRIA Bordeaux-Sud Ouest. January 2013. Prerequisites: Good level in mathematics and signal/speech processing is necessary, as well as Matlab and C/C++ programing. Knowledge in machine learning would be an advantage. Supervisor: Khalid Daoudi (khalid.daoudi@inria.fr), GeoStat team (http://geostat.bordeaux.inria.fr). Location: INRIA- Bordeaux Sud Ouest (http://www.inria.fr/bordeaux). Bordeaux, France. Starting date: Fev/Mars 2012. Duration : 6 months Salary: 1200 euros / month
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6-15 | (2012-12-07) Doctoral and Post-doctoral Positions in Signal Processing for Hearing Instruments, Bochum, Germany Doctoral and Post-doctoral Positions in Signal Processing for Hearing Instruments Position Description The ITN ICanHear, starting on 1 January 2013, will provide cutting-edge research projects for 12 doctoral and 5 post-doctoral research fellows in digital signal processing for hearing instruments. ICanHear aims to develop models based on emerging knowledge about higher-level processing within the auditory pathway and exploit that knowledge to develop creative solutions that will improve the performance of hearing instruments. Attractive grants and a wide variety of international training activities, including collaborations with ICanHear Associated Partners in the U.K., Switzerland, Belgium, U.S.A., and Canada, will be made available to successful candidates, who will stay in the network for a period of 12 to 36 months.
Research and training positions will be available in the following ICanHear labs:
Requirements for Candidates and Application procedure: Early-stage (doctoral) Research Fellows have less than four years experience in research after obtaining a Masters degree in engineering, computer science, or similar. Experienced (post-doctoral) Researcher Fellows are already in possession of a doctoral degree or have at least 4 years but less than 5 years of research experience in engineering and/or hearing research. In order to ensure transnational mobility candidates may have resided no more than 12 months (during the last 3 years) in the country of the host institution they wish to apply to. For all positions excellent English language skills are required. To apply please send in the following documents via e-mail to the ICanHear coordination office (icanhear@rub.de): CV, certified copies of all relevant diplomas and transcripts, two letters of recommendation, proof of proficiency in English, letter of motivation (research interest, reasons for applying to programme and host). For further information on research projects available, application details and eligibility please visit the ICanHear web-site (http://www.icanhear-itn.eu) or contact the project coordinator Rainer Martin (rainer.martin@rub.de).
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6-16 | (2012-12-15) Technicien en instrumentation scientifique,expérimentation et mesure Aix-en-Provence FranceCAMPAGNE NOEMI HIVER 2012-2013 PROFIL DE POSTE Description de l'Unité Code unité : UMR 7309 Nom de l’unité : Laboratoire Parole et Langage Directeur : Noël NGUYEN Ville : Aix-en-Provence Délégation régionale : DR12 Institut : INSHS Description du poste NUMERO NOEMI : T54030 CORPS : Technicien BAP : C Emploi-type : C4B21-Technicien en instrumentation scientifique, expérimentation et mesure Fonction Technicien de Plateforme Technicien de Plateforme Mission Au sein du Laboratoire Parole et Langage (LPL), affecté au Centre d’Expérimentation sur la Parole (CEP), l’agent sera chargé du soutien aux expériences en collaboration avec le coordinateur de la plateforme. Activités L’activité principale consiste à apporter un soutien quotidien au fonctionnement de la plateforme, il peut s’agir notamment : - D’assurer le prêt et le suivi du matériel utilisé sur la plateforme ou à l’extérieur, - D’effectuer le montage, l’assemblage de sous-ensembles (notamment audio et vidéo) pour la réalisation d’expériences, - D’assister les expérimentateurs lors de la passation d’expériences en appliquant un protocole défini, - D’effectuer des modifications ou adaptations de dispositifs expérimentaux, - D’assurer la maintenance et les interventions de premier niveau, la détection et le diagnostique de pannes,. - De réaliser des enregistrements (installation et enregistrement proprement-dit) audio et vidéo, - D’assurer la gestion des consommables nécessaires au déroulement des expériences, - D’utiliser des applications logicielles de contrôle d’instruments. Compétences Le (ou)la candidate devra faire preuve d’une grande motivation pour ce poste de soutien indispensable au fonctionnement du centre d’expérimentation sur la parole. Une formation de base en électronique et/ou en mesures physiques est souhaitée, pour mener à bien la réalisation éventuelle de modules élémentaires de synchronisation entre instruments, ou encore pour synchroniser les systèmes d’enregistrement audio et vidéo, pour effectuer le montage et l’assemblage de sous-ensembles pour la réalisation de dispositifs expérimentaux. Le ou la candidate devra apprécier le travail en équipe puisqu’il ou elle travaillera en lien étroit avec le coordinateur de la plateforme. La personne doit être capable d’apprendre de nouvelles techniques, et avoir goût pour lele sens du contact humain car elle sera en contact avec un grand nombre d’utilisateurs. Elle devra montrer une grande rigueur dans le respect des procédures mises en place. L’adhésion aux règles d’hygiène et sécurité en place ainsi est indispensable. Contexte Le Laboratoire Parole et Langage est une unité de recherche du CNRS et d’Aix Marseille Université. Il accueille des phonéticiens, linguistes, des informaticiens, des psychologues, des neuroscientifiques, des physiciens et des médecins. Les activités du LPL portent sur l’étude des mécanismes de production et de perception du langage et de la parole. Le LPL se distingue par ses méthodes de recherche reposant à la fois sur l’expérimentation, l’investigation instrumentale et la formalisation. Approche originale dans ce champ scientifique, qui émarge à la fois aux domaines des sciences humaines, des sciences du vivant et des sciences pour l’ingénieur. Cette particularité explique, au-delà d’une forte activité de recherche fondamentale, l’importance des applications développées à partir des travaux menés dans les domaines du traitement de l’écrit, de l’intelligibilité du message parlé, de la conversion texte-parole de qualité, ou encore de l’évaluation et de la rééducation des troubles de la voix ou du langage. Ces caractéristiques font du Laboratoire Parole et Langage une unité de recherche adaptée aux défis scientifiques des sciences du langage, tout en étant impliquée dans leurs enjeux technologiques. Le LPL regroupe actuellement plus de 80 personnes statutaires (chercheurs, enseignants-chercheurs, ingénieurs, techniciens, administratifs), auxquelles s’ajoutent 40 doctorants dont 20 boursiers. Il est le laboratoire français le plus important dans ce domaine scientifique et l’un des premiers en Europe. Le LPL dispose désormais d’une plateforme technique regroupant un ensemble d’instruments pour l’investigation de la production et la perception de la parole : électro-encéphalographie, tracking oculaire, articulographie, électro- palatographie, évaluation articulatoire, etc. Cette ressource unique en Europe est mutualisée au sein du Centre d’Expérimentation sur la Parole (http://www.lpl.univ-aix.fr/~cep/), plateforme technique à laquelle le poste sera affecté le poste.
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6-17 | (2012-12-16) Master project IRISA Rennes France Computer Science Internship CORDIAL group Title : Voice Conversion from non-parallel corpora Description : The main goal of a voice conversion system (VCS) is to transform the speech signal uttered by speaker (the source speaker) so that it sounds like it was uttered by an other person (the target speaker). The applications of such techniques are limitless. For example, a VCS can be combined to a Text-To-Speech system in order to produce multiple high quality synthetic voices. In the entertainment domain, a VCS can be used to dub an actor with its own voice. State of the art VCS use Gaussian Mixture Models (GMM) to capture the transformation from the acoustic space of the source to the acoustic space of the target. Most of the models are source-target joint models that are trained on paired source-target observations. Those paired observations are often gathered from parallel corpora, that is speech signals resulting from the two speakers uttering the same set of sentences. Parallel corpora are hard to come with. Moreo- ver, they do not guaranty that the pairing of vectors is accurate. Indeed, the pairing process is unsupervised and uses a Dynamic Time Warping under the strong (and unrealistic) hypothesis that the two speakers truly uttered the same sentence, with the same speaking style. This asser- tion is often wrong and results in non-discriminant models that tends to over-smooth speaker's distinctive characteristics. The goal of this Master subject is to suppress the use of parallel corpora in the process of training joint GMM for voice conversion. We suggest to pair speech segments on high level speech descriptors as those used in Unit Selection Text-To-Speech. Those descriptors not only contain the segmental information (acoustic class for example) but also supra-segmental informations such as phoneme context, speed, prosody, power, ... In a rst step, both source and target corpora are segmented and tagged with descriptors. In a second step, each class from one corpus is paired with the equivalent class from the other corpus. Finally, a classical DTW algorithm can be applied on each paired class. The expected result is to derive transform models that both could take into account speaker variability and be more robust to pairing errors. Keywords : Voice Conversion, Gaussian Mixture Models Contacts : Vincent Barreaud (vincent.barreaud@irisa.fr) Bibliographie : [1] H. Benisty and D. Malah. Voice conversion using gmm with enhanced global variance. In Conference of the International Speech Communication Association (Interspeech) , pages 669{ 672, 2011. [2] L. Mesbahi, V. Barreaud, and O. Boeard. Non-parallel hierarchical training for voice conver- sion. In Proceedings of the 16th European Signal Processing Conference, Lausanne, Switzerland, 2008. [3] Y. Stylianou, O. Cappe, and E. Moulines. Continuous probabilistic transform for voice conver- sion. IEEE Transactions on Speech and Audio Processing, 6(2) :131-142, 1998.
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6-18 | (2012-12-16) Master project 2 IRISA Rennes France Computer Science Internship CORDIAL group Title : Unit-selection speech synthesis guided by a stochastic model of spectral and prosodic parameters. A Text-To-Speech system (TTS) produces a speech signal corresponding to the vocalization of a given text. Such a system is composed of a linguistic processing stage followed by an acoustic one which complies as much as possible with the linguistic directives. Concerning the second step, the most used approaches are { the corpus based synthesis approach which lies on the selection and concatenation of unit sequences extracted from a large continuous speech corpus. It has been popular for 20 years, yielding an unmatched sound quality but still bearing some artefacts due to spectral discontinuities. { the statistical approach. The new generation of TTS systems has emerged in the last years, reintroducing the rule based systems. The rules are no longer deterministic like in the rst systems in the 1950's, but they are replaced by stochastic models. HTS, an HMMbased speech synthesis system, is currently the most used statistical system. The HTS type systems yield a good acoustic continuum but with a sound quality strongly depending on the underlying acoustic model. Recently, some hybrid synthesis systems have been proposed, combining the statistical approach with the method of unit selection. It consists in using the acoustic descriptions and the melodic contours generated by a statistical system in order to drive the cost function during the natural speech unit selection phase, or also, substituting the poor quality natural speech units by units derived from a statistical system. The framework of this subject is the corpus based TTS. Considering the combinatorial problem due to the search of an optimal unit sequence with a blind sequencing, the work consists in determining heuristics to reduce the search space and satisfy a real time objective. These assumptions, based on spectral and prosodic type parameters generated by HTS, will permit to implement pre-selection lters or to propose new cost functions within the corpus based system developped by the Cordial group. The production of the hybrid system will be evaluated and compared via listening tests with standard systems like HTS and a corpus based system. Keywords : TTS, Corpus based speech synthesis, Statistical Learning, Experiments. Contacts : Olivier Boe Bibliography : [1] A. W. Black and K. A. Lenzo, Optimal data selection for unit selection synthesis, 4th ISCA Tutorial and Research Workshop on Speech Synthesis, 2001. [2] H. Kawai, T. Toda, J. Ni, M. Tsuzaki and K. Tokuda, Ximera : a new tts from atr based on corpus-based technologies . ISCA Tutorial and Research Workshop on Speech Synthesis, 2004. [3] S. Rouibia and O. Rosec, Unit selection for speech synthesis based on a new acoustic target cost , Interspeech, 2005. [4] H. Zen, K. Tokuda and A. W. Black, Statistical parametric speech synthesis. Speech Communication, v.51, n.11, pages 1039{1064, 2009. [5] H. Silen, E. Helander, J. Nurminen, K. Koppinen and M. Gabbouj, Using Robust Viterbi Algorithm and HMM-Modeling in Unit Selection TTS to Replace Units of Poor Quality , Interspeech 2010.
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6-19 | (2012-12-16) Master project 3 IRISA Rennes France Computer Science Internship CORDIAL group Title: Grapheme-to-phoneme conversion adaptation using conditional random elds Description: Grapheme-to-phoneme conversion consists in generating possible pronuncia- tions for an isolated word or for a sequence of words. More formally, this conversion is a translit- eration of a sequence of graphemes, i.e., letters, into a sequence of phonemes, symbolic units to represent elementary sounds of a language. Grapheme-to-phoneme converters are used in speech processing
either to help automatic speech recognition systems to decode words from a speech signal
or as a mean to explain speech synthesizers how a written input should be acoustically produced. A problem with such tools is that they are trained on large and varied amounts of aligned sequences of graphemes and phonemes, leading to generic manners of pronouncing words in a given language. As a consequence, they are not adequate as soon as one wants to recognize or synthesize specic voices, for instance, accentuated speech, stressed speech, dictating voices versus chatting voices, etc. [1]. While multiple methods have been proposed for grapheme-to-phoneme conversion [2, 3], the primary goal of this internship is to propose a method to adapt grapheme-to-phoneme models which can easily be adapted under conditions specied by the user. More precisely, the use of conditional random elds (CRF) will be studied to model the generic French pronunciation and variants of it [4]. CRFs are state-of-the-art statistical tools widely used for labelling problems in natural language processing [5]. A further important goal is to be able to automatically characterize pronunciation distinctive features of a given specic voice as compared to a generic voice. This means highlighting and generalizing di sequences of phonemes derived from a same sequence of graphemes. Results of this internship would be integrated into the speech synthesis platform of the team in order to easily and automatically simulate and imitate specic voices. Technical skills: C/C++ and a scripting language (e.g., Perl or Python) Keywords: Natural language processing, speech processing, machine learning, statistical learn- ing Contact: Gwenole Lecorve (gwenole.lecorve@irisa.fr) References: [1] B. Hutchinson and J. Droppo. Learning non-parametric models of pronunciation. In Pro- ceedings of ICASSP , 2011. [2] M. Bisani and H. Ney. Joint-sequence models for grapheme-to-phoneme conversion. In Speech Communication , 2008. [3] S. Hahn, P. Lehnen, and Ney H. Powerful extensions to crfs for grapheme to phoneme conversion. In Proceedings of ICASSP, 2011. [4] Irina Illina, Dominique Fohr, and Denis Jouvet. Multiple pronunciation generation using grapheme-to-phoneme conversion based on conditional random elds. In Proceedings of SPECOM , 2011. [5] John D. La elds: probabilistic models for segmenting and labeling sequence data. In Proceedings of ICML , 2001.
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6-20 | (2013-01-14) Ph.D. Researcher in Speech Synthesis, Trinity College, Dublin, Ireland Post Specification Post Title: Ph.D. Researcher in Speech Synthesis Post Status: 3 years Department/Faculty: Centre for Language and Communication Studies (CLCS) Location: Phonetics and Speech Laboratory Salary: €16,000 per annum (plus fees paid) Closing Date: 31st January 2013 Post Summary A Ph.D. Researcher is required to work in the area of speech synthesis at the Phonetics and Speech Laboratory, School of Linguistic, Speech and Communication Sciences. The position will involve carrying out research on the topic of Hidden Markov Model (HMM)-based speech synthesis. Specifically, we are looking for a researcher to work on developing a source-filter based acoustic modelling for HMM-based speech synthesis which is closely related to the human speech production process and which can facilitate modification of voice source and vocal tract filter components at synthesis time. Background to the Post Much of the research carried out to date in the Phonetics and Speech Laboratory has been concerned with the role of the voice source in speech. This research involves the development of accurate voice source processing both as a window on human speech production and for exploitation in voice-sensitive technology, particularly synthesis. The laboratory team is interdisciplinary and includes engineers, linguists, phoneticians and technologists. This post will the main be funded by the on-going Abair project which has developed the first speech synthesisers for Irish (www..abair.ie), and the researcher will exploit the current Abair synthesis platform. In this project the aim is to deliver multi-dialect synthesis with multiple personages and voices that can be made appropriate to different contexts of use. The post will also be linked to the FastNet project which aims at voice-sensitive speech technologies. A specific goal of our laboratory team is to leverage our expertise on the voice by improving the naturalness of parametric speech synthesis, as well as making more flexible synthesis platforms which can allow modifications of voice characteristics (e.g., for creating different personalities/characters, different forms of expression etc). Standard duties of the Post Initially the researcher will be required to attend some lectures as part of the Masters programme on Speech and Language Processing. This and a supervised reading programme will provide a background in the area of voice production, analysis and synthesis. * In the very early stages the researcher will be required to develop synthetic voices, using the Irish corpora, with the standard HMM-based synthesis platform (i.e. HTS). Note that to work with the Irish corpora does not require a background in the Irish language, as there will be collaboration with experts in this field. * The researcher will be required to familiarise themselves with existing speech synthesis platforms which provide explicit modelling of the voice source (e.g., Cabral et al. 2011, Raitio et al. 2011, Anumanchipalli et al. 2010). * The researcher will then need to first implement similar versions of these systems and then work towards developing novel vocoding methods which would allow full parametric flexibility of both voice source and vocal tract filter components at synthesis time. Person Specification Qualifications * Bachelors degree in Electrical Engineering, Computer Science with specialisation in speech signal processing, or related areas. * Knowledge & Experience (Essential & Desirable) * Strong digital signal processing skills (Essential) *Good knowledge of HTS including previous experience developing synthetic voices (Essential) * Knowledge of speech production and perception (Desirable) * Experience in speech recognition (Desirable) Skills & Competencies * Good knowledge of written and spoken English. Benefits * Opportunity to work with a world-class inter-disciplinary speech research group. To apply, please email a brief cover letter and CV, including the names and addresses of two academic referees, to: kanejo@tcd.ie and to cegobl@tcd.ie
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6-21 | (2013-01-12) Stage de Master à IRIT Toulouse F Nous sommes à la recherche d'une personne pour un stage de Master 2 recherche qui sera suivi d'un financement CIFRE de 3 ans avec AIRBUS. Merci de me contacter en m'envoyant un CV et une lettre de motivation le plus rapidement possible.
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6-22 | (2013-01-20) Ph.D. Researcher in Speech Synthesis, Trinity College, Dublin, Ireland Ph.D. Researcher in Speech Synthesis, Trinity College, Dublin, Ireland Post Specification Post Title: Ph.D. Researcher in Speech Synthesis Post Status: 3 years Department/Faculty: Centre for Language and Communication Studies (CLCS) Location: Phonetics and Speech Laboratory Salary: €16,000 per annum (plus fees paid) Closing Date: 31st January 2013 Post Summary A Ph.D. Researcher is required to work in the area of speech synthesis at the Phonetics and Speech Laboratory, School of Linguistic, Speech and Communication Sciences. The position will involve carrying out research on the topic of Hidden Markov Model (HMM)-based speech synthesis. Specifically, we are looking for a researcher to work on developing a source-filter based acoustic modelling for HMM-based speech synthesis which is closely related to the human speech production process and which can facilitate modification of voice source and vocal tract filter components at synthesis time. Background to the Post Much of the research carried out to date in the Phonetics and Speech Laboratory has been concerned with the role of the voice source in speech. This research involves the development of accurate voice source processing both as a window on human speech production and for exploitation in voice-sensitive technology, particularly synthesis. The laboratory team is interdisciplinary and includes engineers, linguists, phoneticians and technologists. This post will the main be funded by the on-going Abair project which has developed the first speech synthesisers for Irish ( www.abair.ie), and the researcher will exploit the current Abair synthesis platform. In this project the aim is to deliver multi-dialect synthesis with multiple personages and voices that can be made appropriate to different contexts of use. The post will also be linked to the FastNet project which aims at voice-sensitive speech technologies. A specific goal of our laboratory team is to leverage our expertise on the voice by improving the naturalness of parametric speech synthesis, as well as making more flexible synthesis platforms which can allow modifications of voice characteristics (e.g., for creating different personalities/characters, different forms of expression etc). Standard duties of the Post Initially the researcher will be required to attend some lectures as part of the Masters programme on Speech and Language Processing. This and a supervised reading programme will provide a background in the area of voice production, analysis and synthesis.
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6-23 | (2013-01-23) Tenure-track and Research Assistant Professor positions at the Toyota Technological Institute, Chicago Tenure-track and Research Assistant Professor positions
Toyota Technological Institute at Chicago (http://www.ttic.edu) is a philanthropically endowed academic computer science institute, dedicated to basic research and graduate education in computer science, located on the University of Chicago campus. TTIC opened for operation in 2003. It currently has 9 tenure-track/tenured faculty, 10 research faculty, and a number of adjoint/visiting faculty, and is growing. Regular faculty have a teaching load of one course per year and research faculty have no teaching responsibilities. Research faculty positions are endowed positions (not based on grant funding) and are for a term of 3 years. Applications are welcome in all areas of computer science, including speech and language processing, for both tenure-track and research faculty positions. Applications can be submitted online at http://www.ttic.edu/faculty-hiring.php . Additional questions can be directed to Karen Livescu at klivescu@ttic.edu
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6-24 | (2013-01-25) Postdoc at Orange Labs Lannion Densité de présence des personnes dans les émissions télévisuelles
Le sujet porte sur la détection automatique de la présence des personnes dans les émissions télévisuelles, et introduit une notion qualitative et quantitative de cette présence, résumée sous la dénomination « densité de présence ».
En effet, les personnes présentes dans une émission télévisuelle n’occupent pas toutes une place équivalente, durant l’émission.
Tout d’abord, il convient de différencier la notion de présence vs la citation : par exemple, on peut distinguer plusieurs niveaux de présence :
-présence physique (ou en duplex) de la personne dans l’émission : la personne parle dans l’émission (interview etc)
-présence par extrait : l’émission montre des extraits de documents audiovisuels ou la personne parle.
-citation visuelle: la personne ne parle pas , mais est montrée (images de reportages, extrait)
-citation : on parle de cette personne, qui n’est pas présente dans l’émission
Ensuite, il convient de différencier « l’intensité » de cette présence, selon le rôle qu’occupe cette personne dans l’émission : sujet principal, témoin. Cette notion d’intensité est orthogonale au type de présence : une personne peut être présente par citation uniquement, et sujet central. C’est la combinaison des niveaux de présence et de leur intensité (rôle) qui définit ce que nous proposons de nommer « densité » de présence.
Enfin, ces notions ne sont pas nécessairement constantes tout le long de l’émission, et il convient de déterminer automatiquement les segments durant lesquelles la densité de présence de la personne est constante. En pratique, cela permet par exemple d’extraire d’une émission uniquement le segment où telle personne est le sujet principal.
Le travail de ce post-doc consistera dans un premier temps à affiner ces notions de présence/intensité, pour formaliser le problème de classification/segmentation automatique associé. Il s’agira ensuite d’annoter les corpus d’émissions télévisuelles disponibles en fonction des classes de présence, puis de concevoir, développer, et tester les algorithmes permettant de répondre à ce problème.
Le postdoc est d’une durée de 12 mois, non-renouvelable, à Orange Labs Lannion, rémunéré 34k€ brut annuel (soit environ 2150€ net/mois).
Il doit être le premier contrat de travail après la soutenance de la thèse.
Pour tout renseignement : delphine.charlet@orange.com
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6-25 | (2013-01-30) 15 RESEARCH POSITIONS (PhD, Post-Doc and Research Programmer), Dublin, Ireland 15 RESEARCH POSITIONS (PhD, Post-Doc and Research Programmer) IN
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6-26 | (2013-02-01) Ph.D. Research Assistant or Post-Doctoral Researcher, Cooperative State University in Karlsruhe, Germany This is a pre-announcement for a position in the Computer Science Department at the Cooperative State University in Karlsruhe, Germany, for a
Ph.D. Research Assistant or Post-Doctoral Researcher in the field of Automatic Language Processing for Education
to be filled immediately with a salary according to TV-L E13 at 50% for 18 Months. The opening is in Karlsruhe, Germany, as part of a joint research project between Karlsruhe Institute of Technology (KIT), the Cooperative State University (DHBW) and the University of Education (PH) sponsored by DFG involving speech technology for educational system. (Working language: English or German) Project cooperation partners are: Cooperative State University (Duale Hochschule, Karlsruhe) University of Education, Karlsruhe (Pädagogische Hochschule, Karlsruhe) Karlsruhe Institute of Technology (KIT) Description Starting as soon as possible, we are seeking an experienced and motivated person to join our team of researchers from the above mentioned institutes. The ideal candidate will have knowledge in computational linguistics and algorithm design. Responsibilities include the use and improvement of research tools to update and optimize algorithms applied to diagnostics in children’s (German) writing using speech recognition and speech synthesis tools. For further details of this work, please refer to publications at SLaTE 2011, Interspeech 2011, and WOCCI 2012 by authors Berkling, Stüker, and Fay. Joint and collaborative research between the partners will be very close, offering exposure to each research lab.
Candidates:
Requirements
Desirable:
Application Procedure: Non-EU candidates need to check their ability to reside in Germany. Interested candidates, please send application (CV, certified copies of all relevant diplomas and transcripts, two letters of recommendation , proof of proficiency in English, letter of motivation (research interest, reason for applying to position) to: Berkling@dhbw-karlsruhe.de The Cooperative State University is pursuing a gender equality policy. Women are therefore particularly encouraged to apply. If equally qualified, handicapped applicants will be preferred.
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6-27 | (2013-02-20) Research Associate in Robust Speech Recognition at the University of Shefield UK -- Research Associate in Robust Speech Recognition
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6-28 | (2013-02-10) Developer for Large-Scale Audio Indexing Technologies at IRCAM, Paris
Position: Developer for Large-Scale Audio Indexing Technologies: 1 W/M position at IRCAM Starting: March 2013 Duration: 18 months Position description He/she will be in charge of the development of a framework for scalable storage, management and access of distributed data (audio and meta-data). He/she will be also in charge of the development of scalable search algorithms. Required profile: · High skill in database management systems · High skill in scalable indexing technologies (hash-table, m-trees …) · High skill in C++ development (including template-based meta-programming) · Good knowledge of Linux, Mac OSX and Windows development environment (gcc, Intel and MSVC, svn) · High productivity, methodical work, excellent programming style.
The developer will collaborate with the project 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 center 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 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_a_t_ircam_dot_fr, roebel_at_ircam_dot_fr.
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6-29 | (2013-02-14) INRIA PhD fellowship, Bordeaux, F Proposal for an INRIA PhD fellowship (Cordi-S) Title of the proposal: Nonlinear speech analysis for differential diagnosis between Parkinson's disease and Multiple-System Atrophy
Project Team INRIA: GeoStat (http://geostat.bordeaux.inria.fr/) Author of the proposal research subject: Khalid Daoudi (khalid.daoudi@inria.fr) Keywords: speech processing, nonlinear speech analysis, machine learning, voice pathology, dysphonia, dysarthria, Multiple-System Atrophy, Parkinson's disease. Scientific context: Parkinson's disease (PD) is the most common neurodegenerative disorder after Alzheimer's disease. Prevalence is 1.5% of the population over age 65 and affects about 143,000 French. Given the aging of the population, the prevalence is likely to increase over the next decade. Multiple-System Atrophy (MSA) is a rare and sporadic neurodegenerative adult disorder, of progressive evolution and of unknown etiology. The MSA has a prevalence of 2 to 5/100 000 and has no effective treatment. It usually starts in the 6th decade and there is a slight male predominance. It takes 3 years on average from the first signs of the disease for a patient to require a walking aid, 4-6 years to be in a wheelchair and about 8 years to be bedridden. The PD and MSA require different treatment and support. However, the differential diagnosis between PD and MSA is a very difficult task because, at the early stage of the diseases, patients look alike as long as signs, such as dysautonomia, are not more clearly installed for MSA patients. There is currently no valid clinical nor biological marker for clear distinction between the two diseases at an early stage. Goal: Voice and speech disorders in Parkinson's disease is a clinical marker that coincides with a motor disability and the onset of cognitive impairment. Terminology commonly used to describe these disorders is dysarthria [1]. Like PD patients, depending on areas of the brain that are damaged, people with AMS may also have speech disorders: difficulties of articulation, staccato rhythm, squeaky or muted voice. Dysarthria in AMS is more severe and early in the sense that it requires more early rehabilitation compared to PD. Since dysarthria is an early symptom of both diseases, the purpose of this thesis is to use dysarthria, through digital processing of voice recordings of patients as a mean for objective discrimination between PD and MSA. The ultimate goal is to develop a numerical dysarthria measure, based on the analysis of the speech signal of the patients, which allows objective discrimination between PD and MSA and would thus complement the tools currently available to neurologists in the differential diagnosis of the two diseases. Project: Pathological voices, such as in PD and MSA, generally present high non-linearity and turbulence. Nonlinear/turbulent phenomena are not naturally suited to linear signal processing. The latter is however ruling over current speech technology. Thus, from the methodological point of view, the goal of this thesis is to investigate the framework of nonlinear and turbulent systems, which is better suited to analyzing the range of nonlinear and turbulent phenomena observed in pathological voices in general [2], and in PD and MSA voices in particular. We will adopt an approach based on novel nonlinear speech analysis algorithms recently developed in the GeoStat team [3]. The goal being to extract relevant speech features to design new dysarthria measures that enable accurate discrimination between PD and MSA voices. This will also require investigation of machine learning theory in order to develop robust classifiers (to discriminate between PD and MSA voices) and to make correspondence (regression) between speech measures and standard clinical rates. The PhD candidate will actively participate, in coordination with neurologists from the Parkinson's Center of Haut-Lévêque Hospital, to set up the experimental protocol and data collection. The latter will consist in recording patient's voices using DIANA or EVA2 workstation (http://www.sqlab.fr/).
References: [1] Auzou, P.; Rolland, V.; Pinto, S., Ozsancak C. (eds.). Les dysarthries. Editions Solal. 2007. [2] Baghai-Ravary L. ; Beet S.W. Automatic Speech Signal Analysis for Clinical Diagnosis and Assessment of Speech Disorders. Springer 2013. [3] PhD thesis of Vahid Khanagha. GeoStat team, INRIA Bordeaux-Sud Ouest. January 2013. http://geostat.bordeaux.inria.fr/images/vahid%20khanagha%204737.pdf Advisor: K. Daoudi Duration: 3 years (starting fall 2013) Prerequisites: Good level in signal/speech processing is necessary, as well as Matlab and C/C++ programing. Knowledge in machine learning would be a strong advantage.
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6-30 | (2013-02-19) Ph.D Student in Speech and Music Communication , KTH Stockholm Sweden Ph.D Student in Speech and Music Communication KTH School of Computer Science and Communication (CSC) announces a PhD position in Speech and Music Communication. The WorkplaceKTH 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 just over 15,000 first and second level students and more than 1,600 doctoral students. KTH has almost 4,300 employees. KTH Computer Science and Communication is one of the most outstanding research and teaching environments in Information Technology in Sweden with activities at KTH and partly at Stockholm University. We conduct education and research in theoretical computer science, from theory building and analysis of mathematical models to algorithm construction, implementation and simulation. The applied computer science research and education dealing with computer vision, robotics, machine learning, computational biology, neuroinformatics and neural networks, including high performance computing, visualization and speech and music communication. It also conducts applied research and training in media technology, human-computer interaction, interaction design and sustainable development. For more information about CSC, go to www.kth.se/csc. AssignmentKTH School of Computer Science and Communication (CSC) announces a PhD position in Speech and Music Communication at the Department of Speech, Music and Hearing. The thesis work will be directed towards basic research on simulating the human voice through advanced computer models. It comprises theoretical as well as experimental studies of speech production. For more information about the research project: http://www.speech.kth.se/eunison This is a four-year time-limited position that can be extended up to a year with the inclusion of a maximum of 20% departmental duties, usually teaching. Doctoral students must be registered at KTH. Expected starting date: 2013-09-02. EmploymentForm of employment: Time-limited Work time: Full time The salary follows the directions provided by KTH Start date: According to agreement, preferably 2013-09-02. Number of positions: 1 QualificationsThe applicant should, at the time of application or no later than the expected starting date, possess a Master of Science degree in computer science, electrical engineering or engineering physics, or the equivalent. In addition, thorough knowledge in several of the following areas are required: programming, phonetics or speech technology, statistical methods, computer simulations and multi-physics. The applicant should demonstrate a high proficiency in both written and spoken English. Applicants must be strongly motivated for doctoral studies, possess the ability to work independently and perform critical analysis as well as possess good levels of cooperative and communicative abilities. ApplicationApplication deadline: March 22, 2013 Employer's reference: D-2013-0107 Applications via email are to be sent to: Camilla Johansson, e-mail jobs@csc.kth.se. Write reference number in the email subject. (CV, etc. should be sent as an attachment, as pdf-files.) We also accept hard copy applications sent to: KTH, CSC Att. Camilla Johansson, Lindstedtsvägen 3, 4th floor, SE-100 44 Stockholm, Sweden ApplicationThe application must be written in English and contain:
Applicants are kindly ask to also fill in the form at http://www.speech.kth.se/eunison/phd-applicants.html We are currently gathering information to help improve our recruitment process. We would, therefore, be very grateful if you could include an answer to the following question within your application: Where did you initially come across this job advertisement? Contact(s)For enquiries about Ph.D studies and employment conditions please contact: Eva-Lena Åkerman, HR Manager Phone: +46 8 790 91 06 Email: ela@csc.kth.se For enquiries about the project please contact: Olov Engwall, Professor in Speech Communication Telephone: +468-790 75 35 e-mail: engwall@kth.se Union representativeLars Abrahamsson, SACO Phone: +46 8 790 7058 Email: lars.abrahamsson@ee.kth.se
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6-31 | (2013-02-19) Poste de Maître de conférences en informatique est ouvert à l'Université Paris-Sud, à destination de l'IUT d'Orsay. France Un poste de Maître de conférences en informatique est ouvert au concours à l'Université Paris-Sud, à destination de l'IUT d'Orsay.
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6-32 | (2013-02-25) Post-doc de durée de 12 mois, INRIA-LORIA, Nancy, France Dans le cadre du projet ANR ContNomina(2013-2016), nous proposons un post-doc de durée de 12 mois, financé par ce projet : Détection des noms propres dans des transcriptions automatiques de la parole en FrançaisBien que la reconnaissance d’entités nommées en anglais offre des performances excellentes, ce n’est pas le cas pour les autres langues, dans les domaines d’application avec peu de données d’apprentissage, et sur des transcriptions automatiques. Le travail demandé est donc de proposer des solutions permettant de : (i) exploiter les mesures de confiance du système de reconnaissance et le contexte lexical afin de localiser les noms propres, qu’ils soient présents ou non dans le lexique de transcription ; et (ii) pallier l’absence ou à la rareté des données d’apprentissage, ce qui donnera au système développé un caractère incrémental et auto-adaptatif très important pour envisager une valorisation à long terme des résultats, au-delà de la durée du projet lui-même. Les modèles bayésiens génératifs forment un cadre théorique intéressant à explorer pour résoudre ce défi.
Personnes à contacter : Irina Illina, Responsable du projet ANR ContNomina, INRIA-LORIA, Nancy, équipe Parole, tel 03 54 95 84 90, illina@loria.fr Christophe Cerisara, INRIA-LORIA, Nancy, équipe Sinalp, tel 03 54 95 86 25, cerisara@loria.fr
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6-33 | (2013-02-21) 4 positions for doctoral students, University of Gothenburg, Sweden My department is now announcing four (not much, but still) positions for doctoral students. The positions mean four years fully financed (full time salary on the order of € 2500 per month), office space, computer and other technical resources necessary to do the job. You will find more information here: Anders Eriksson, MSc, PhD.
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6-34 | (2013-02-22) Post-doc at François Rabelais University, Tours (France) Job offer: Post-doc
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6-35 | (2013-02-22) Researcher/PostDoc/Intern positions at Telfonica Research Barcelona, Spain We are seeking candidates for Researcher/PostDoc/Intern positions to
strengthen and complement our efforts in the areas we currently work
on:
- Distributed systems and networking
- Human&computer interaction
- Mobile computing
- Multimedia analysis
- Speech processing
- Recommender systems
- User modeling and machine learning
- Security and privacy
The Telefonica Digital Research group was created in 2006 and follows
an open research model in collaboration with Universities and other
research institutions, promoting the dissemination of scientific
results both through publications in top-tier peer-reviewed
international journals and conferences and technology transfer. Our
multi-disciplinary and international team comprises more than 20 full
time researchers, holding PhD degrees in various disciplines of
computer science and electrical engineering.
The salaries we offer are competitive and will depend upon the
candidate's experience. We also offer great benefits and a stimulating
and friendly working atmosphere in one of the most vibrant cities in
the world, Barcelona (Spain).
You can find more information about the group here:
http://www.tid.es/en/Research/Pages/TIDResearchHome.aspx
To apply for a position at Telefonica Research Barcelona, please send
an e-mail with your cv and research statement to:
careers_research@tid.es
Applications submitted by March 10, 2013 will receive full
consideration, although we will continue to accept applications after
this date until all positions are filled up.
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6-36 | (2013-03-01) Maître de Conférences en Informatique: Traduction automatique statistique, Le Mans, France Poste de Maître de Conférences en Informatique
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6-37 | (2013-03-02) Researcher/PostDoc/Intern positions at Telefonica, Barcelona, Spain We are seeking candidates for Researcher/PostDoc/Intern positions to
strengthen and complement our efforts in the areas we currently work
on:
- Distributed systems and networking
- Human&computer interaction
- Mobile computing
- Multimedia analysis
- Speech processing
- Recommender systems
- User modeling and machine learning
- Security and privacy
The Telefonica Digital Research group was created in 2006 and follows
an open research model in collaboration with Universities and other
research institutions, promoting the dissemination of scientific
results both through publications in top-tier peer-reviewed
international journals and conferences and technology transfer. Our
multi-disciplinary and international team comprises more than 20 full
time researchers, holding PhD degrees in various disciplines of
computer science and electrical engineering.
The salaries we offer are competitive and will depend upon the
candidate's experience. We also offer great benefits and a stimulating
and friendly working atmosphere in one of the most vibrant cities in
the world, Barcelona (Spain).
You can find more information about the group here:
To apply for a position at Telefonica Research Barcelona, please send
an e-mail with your cv and research statement to:
Applications submitted by March 10, 2013 will receive full
consideration, although we will continue to accept applications after
this date until all positions are filled up.
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6-38 | (2013-03-03) Six positions at Nuance, Vienna, Austria
Nuance Healthcare, a division of Nuance Communications, is the market leader in providing clinical understanding solutions that accurately capture and transform the patient story into meaningful, actionable information. Thousands of hospitals, providers and payers worldwide trust Nuance speech-enabled clinical documentation and analytics solutions to facilitate smarter, more efficient decisions across the healthcare enterprise. These solutions are proven to increase clinician satisfaction and HIT adoption, supporting organizations to achieve Meaningful Use of EHR systems and transform to the accountable care model. Nuance Healthcare has been recognized as “Best-in-KLAS” 2004-2012 for Speech Recognition.
Research Scientist (m/f) – Computational Linguist NLP Preferred Vienna / Austria As a Research Scientist - Computational Linguist - you will be part of the Healthcare Automatic Speech Recognition Research team. You will work on research and development of algorithms, resources and methods to support data collection and improve accuracy of Nuance healthcare products.
Your Task.
Your Profil.
Preferred
Our offer.
We offer a competitive compensation package and a casual yet technically challenging work environment. Join our dynamic, entrepreneurial team and become part of our fast growing track of continuing success. Nuance is an Equal Opportunity Employer.
Does Nuance speak to you?
Please apply via our Recruiting tool on our homepage https://jobs-nuance.icims.com/jobs/9447/job or via EMEAjobs@nuance.com reference number 9447-Research Scientist - Comp Linguist NLP. Please provide CV, supporting documents and letter of motivation including preferred country, start date and salary expectations.
For more information visit us www.nuance.com. °°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°° Research Scientist (m/f) – Language Modeling Preferred Vienna / Austria As a Research Scientist you will be part of the Healthcare Automatic Speech Recognition Research team. You will work on research and development of ASR algorithms, resources and methods to improve accuracy and performance of Nuance healthcare products.
Your Task.
Your Profil.
Preferred
Our offer.
We offer a competitive compensation package and a casual yet technically challenging work environment. Join our dynamic, entrepreneurial team and become part of our fast growing track of continuing success. Nuance is an Equal Opportunity Employer.
Does Nuance speak to you?
Please apply via our Recruiting tool on our homepage https://jobs-nuance.icims.com/jobs/9446/job or via EMEAjobs@nuance.com reference number 9446-Research Scientist - LM. Please provide CV, supporting documents and letter of motivation including preferred country, start date and salary expectations.
For more information visit us www.nuance.com.
°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°° Speech Scientist (m/f) - Linguist Preferred Vienna / Austria As a Speech Scientist - (Computer) Linguist - you will be part of the Healthcare Automatic Speech Recognition Research team. You will work on research and development of resources, algorithms and methods to improve accuracy and performance of Nuance healthcare products.
Your Task.
Your Profil.
Preferred
Our offer.
We offer a competitive compensation package and a casual yet technically challenging work environment. Join our dynamic, entrepreneurial team and become part of our fast growing track of continuing success. Nuance is an Equal Opportunity Employer.
Does Nuance speak to you?
Please apply via our Recruiting tool on our homepage https://jobs-nuance.icims.com/jobs/9445/job or via EMEAjobs@nuance.com reference number 9445-Speech Scientist Linguist. Please provide CV, supporting documents and letter of motivation including preferred country, start date and salary expectations.
For more information visit us www.nuance.com.
°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°
Research Scientist (m/f) – Acoustic Modeling Preferred Vienna / Austria As a Research Scientist you will be part of the Healthcare Automatic Speech Recognition Research team. You will work on research and development of ASR algorithms, resources and methods to improve accuracy and performance of Nuance healthcare products.
Your Task.
Your Profil.
Preferred
Our offer.
We offer a competitive compensation package and a casual yet technically challenging work environment. Join our dynamic, entrepreneurial team and become part of our fast growing track of continuing success. Nuance is an Equal Opportunity Employer.
Does Nuance speak to you?
Please apply via our Recruiting tool on our homepage https://jobs-nuance.icims.com/jobs/9444/job or via EMEAjobs@nuance.com reference number 9444-Research Scientist - AM. Please provide CV, supporting documents and letter of motivation including preferred country, start date and salary expectations.
For more information visit us www.nuance.com. °°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°
Research Scientist (m/f) - Acoustic Modeling Preferred Vienna / Austria As a Research Scientist you will be part of the Healthcare Automatic Speech Recognition Research team. You will work on research and development in area of acoustic modeling to improve accuracy and performance of Nuance healthcare products.
Your Task.
Your Profil.
Preferred
Our offer.
We offer a competitive compensation package and a casual yet technically challenging work environment. Join our dynamic, entrepreneurial team and become part of our fast growing track of continuing success. Nuance is an Equal Opportunity Employer.
Does Nuance speak to you?
Please apply via our Recruiting tool on our homepage https://jobs-nuance.icims.com/jobs/9443/job or via EMEAjobs@nuance.com reference number 9443-Research Scientist AM. Please provide CV, supporting documents and letter of motivation including preferred country, start date and salary expectations.
For more information visit us www.nuance.com. °°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°°
Research Scientist (m/f) – Automatic Speech Recognition Preferred Vienna / Austria As a Research Scientist you will be part of the Healthcare Automatic Speech Recognition Research team. You will work on research and development of ASR algorithms, resources and methods to improve accuracy and performance of Nuance healthcare products.
Your Task.
Your Profil.
or
Preferred Skills:
Our offer.
We offer a competitive compensation package and a casual yet technically challenging work environment. Join our dynamic, entrepreneurial team and become part of our fast growing track of continuing success. Nuance is an Equal Opportunity Employer.
Does Nuance speak to you?
Please apply via our Recruiting tool on our homepage https://jobs-nuance.icims.com/jobs/8047/job or via EMEAjobs@nuance.com reference number 8047-Research Scientist - ASR. Please provide CV, supporting documents and letter of motivation including preferred country, start date and salary expectations.
For more information visit us www.nuance.com.
ILONA ALEXANDRA HOLTZ Recruiter - Employment Specialist DACH Human Resources Nuance Communications Deutschland GmbH Site Ulm Soeflingerstr. 100 D-89077 Ulm, Germany Fon +49 731 - 379 50 1166 Fax +49 731 - 379 50 1106 (Zentrale) Mobil +49 170 56 15 235
WWW.NUANCE.COM The experience speaks for itself ™ Geschäftsführung/Director: Caroline Curtis, Todd Michael DuChene, Thomas L. Beaudoin Sitz der Gesellschaft/Registered Office: Aachen Registergericht/Court of Registration: Aachen Reg. Nr.: HRB 16313 USt-ID/VAT: DE 264500438 This electronic transmission and any files transmitted with it are confidential. It is transmitted for the sole use of the person(s) to whom it is addressed. Any further distribution or copying is prohibited. If you receive this message in error, please inform the sender immediately, do not use it or disclose its contents and delete it from your system. Please note that Nuance cannot guarantee that the transmission will be secure or error-free.
Experience Nuance in the web: DragonDrive! http://www.youtube.com/watch?v=wYIwVP2JqL4 DragonNaturallySpeaking - Say It Your Way! http://www.youtube.com/watch?v=RkiYr8aw5pE or meet me on XING or LinkedIn
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6-39 | (2013-03-13) Speech Data Evaluator for French at Google Dublin IrelandSpeech Data Evaluator for FrenchJob title: Speech Data Evaluator for French (multiple positions) In Dublin. Job description: As a Speech Data Evaluator and a native speaker of French, you will be part of a team based in Dublin, processing large amounts of linguistic data and carrying out a number of tasks to improve the quality of Google’s speech synthesis and speech recognition in your own language. This includes:
Job requirements:
Project duration: 6-9 months (with potential for extension) For immediate consideration, please email your CV and cover letter in English (PDF format preferred) with 'Speech Data Evaluator French' in the subject line. Email Address for applications: DataOpsMan@gmail.com Contact information: Linne Ha Closing date: open until filled
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6-40 | (2013-03-15) Offre de post-doc en Traitement Automatique du Langage au LIUM Le Mans France Offre de post-doc au LIUM
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6-41 | (2013-03-20) Post-doc job proposal, LIMSI, France Postdoctoral position at LIMSI, France
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