New call for applicant/ research fellow

The research group on hearing impairment and cochlear implants is located at the Dept. of

Educational and Social Policy of the University of Macedonia which works in collaboration

with the AHEPA Cochlear Implant Center as well as other local educational, speechpathology

and parental organizations in Greece. It focuses on assessing and optimizing

communication skills and also fostering educational success for children with hearing loss

and/or cochlear implants. Researchers have access to audiological and speech state-of-the

art equipment (nasometer, palatometer, OAE systems, etc) and work in a scientifically

focused and welcoming multidisciplinary environment. The doctoral students are enrolled in

the Graduate Program of the Dept. of Educational and Social Policy. A vacancy is available

for an:

Early Stage Researcher (PhD)

to investigate “Speech processing cues in children with hearing loss (CI)”

This position has been opened in the framework of ‘iCARE’, a European research and training

network (Marie Curie ITN) on ‘improving Children’s Auditory REhabilitation’. iCARE is an

international and interdisciplinary consortium from academia, industry and socio-economic

agencies. The position is available for 3 years, starting in June 2014 and aims in the

completion of a Ph.D. within 4 years. Limited funding may be available in the 4th year.

The aim of the ESR is to investigate the phono-prosodic cues that underlie the processing of

spoken words by profoundly hearing impaired children with cochlear implants (CI).

Objectives:

 Assess the role of speech signal cues on lexical processing by CI children

 Investigate the acquisition of phonological grammar by CI children in two languages,

Greek and another language.

 Develop hierarchies of phono-prosodic cues that facilitate lexical processing

 Develop e-learning/remote rehabilitation tools for clinical practice and/or parent

guidance.

Tasks and methodology:

 Psycholinguistic experiments that involve presentation of controlled speech stimuli,

computerized, forced-choice tasks, reaction times and elicited productions.

 Obtaining accuracy ratings and performing acoustic analysis of speech via spectrography.

 Conducting speech and language assessments in young children with CI, working with

them in sound-attenuated rooms, making audio recordings.

 Programming and carrying out computerized tasks.

Your profile:

 A university Master degree (or equivalent) in Communication Disorders, Hearing

Impairment, Speech Science or Hearing Science

 Scientific background in the study of speech, acoustics and phonology

 A vested interest in hearing-impaired children and multi-disciplinary international team

work, demonstrated by willingness to move to Salonika, Greece.

 Familiarity with research tools, such as PRAAT, E-Prime or other computerized software

for designing psycholinguistic tasks.

 Technical competence for data analysis (Excell, SPSS, Statistica, etc.).

 Excellent command of English language, both in academic writing and in verbal

communication. Knowledge of Greek is recommended.

 Research experience in any of the above fields and clinical or other experience in working

with children is desirable.

How to apply? Please send your CV, full contact information for two references and letter of

intent to Prof. Areti Okalidou (okalidou@uom.gr). Make sure that you obtain a confirmation

response upon their receipt. Other documents such as English language proficiency and

recommendations may be requested to be available later on.

Mailing address:

Areti Okalidou,

Associate Professor,

Dept. of Educational and Social Policy,

University of Macedonia,

Egnatia 156, P.O. Box 1591,

Salonika 540 06

Greece.

Tel. : +30-2310-891358.

General Information:

Improving Children’s Auditory Rehabilitation (iCARE)

FP7‐Marie Curie Initial Training Network

Objectives

The objectives of improving Children’s Auditory REhabilitation (iCARE) are

1) to provide training to create a new generation of researchers capable of exploiting the

synergies between different disciplines to optimize spoken communication in children with

hearing impairment, and

2) to combine research across disciplines to develop novel methods, training skills and procedures

for improving auditory rehabilitation.

iCARE is an international and interdisciplinary consortium from academia, industry and

socio-economic agencies and offers a choice of 11 PhD and 3 postdoc positions, starting June or

July 2014. Each project is supervised by a multidisciplinary team of experts and will benefit from

extensive training. Please contact 1 or more partners for project specific educational

prerequisites. In December 2013 a website will be available with more details and a procedure for

applying.

Partners and topic

 KU Leuven (Leuven, Belgium): Prof. Dr. Astrid van Wieringen

(astrid.vanwieringen@med.kuleuven.be) Temporal processing in children with unilateral

HI.

 KU Leuven (Leuven, Belgium): Prof. dr .Wim Van Petegem

(wim.vanpetegem@kuleuven.be) Factors influencing e-learning.

 RWTH (Aachen, Germany): Prof. Dr.-Ing. Janina Fels (Janina.Fels@akustik.rwth-aachen.de)

Acoustic Virtual Reality for HI and Development of ‘realistic’ test procedures for children

with HI.

 LiU (Linköping, Sweden:) Prof. dr. Björn Lyxell (bjorn.lyxell@liu.se) Higher-order

(auditory-cognitive) remediation.

 RUN (Nijmegen, the Netherlands): Prof. dr. Ad Snik (A.Snik@kno.umcn.nl) Optimizing

auditory scene analysis for the hearing impaired.

 UCL (London, UK): dr. Lorna Halliday ( l.halliday@ucl.ac.uk) Auditory processing in

children with HI.

 UOM (Thessaloniki, Greece): Prof. dr. Areti Okalidou (okalidou@uom.gr) Speech

processing cues in children with HI.

 GAVLE (Gävle, Sweden): Prof. dr. Staffan Hygge (Staffan.Hygge@hig.se) Learning in

different acoustic scenes.

 COCHLEAR UK (Mechelen, Belgium*): dr. Filiep Vanpoucke (fvanpoucke@cochlear.com)

Investigating listening situations by means of scene classifiers. Music remediation.

 NOLDUS (Wageningen, the Netherlands): dr. Nico van der Aa (n.vanderaa@noldus.nl)

Development of a new system to determine quality of communication.

Eligibility

Marie Curie funding is intended to promote mobility of early career researchers within the

research community. Candidates must:

a) have received a degree (Bachelor or Master's) that qualifies them for PhD training,

b) should not have undertaken more than 4 years of fulltime research subsequent to that degree,

and

c) should not have been resident within the ‘country of interest’ (see individual projects) for more

than 12 months within the 3 years prior to 1 June 2014.

For a full description of the eligibility conditions see:

http://ec.europa.eu/research/mariecurieactions/

An excellent 1st degree, good verbal and written communication skills in English, and an interest

in multidisciplinary research are essential.

At this stage applicants can express their interest and/or ask for additional information by

contacting the individual partner(s). Mobility expenses are provided in addition to a salary.

Prof dr Astrid van Wieringen ExpORL,

Dept Neurosciences Herestraat 49, 3000 Leuven, Belgium

astrid.vanwieringen@med.kuleuven.be

tel 00 32 16 330478

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PhD thesis: Smart dialogue based on human-human conversation

Supervisor: Laroche Romain (romain.laroche@orange.com)

Company: Orange Labs (www.orange.com/en/innovation)

Place: Issy-les-Moulineaux (Paris, France)

To start around October 2014

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Dans le cadre d'un co-financement entre la DGA et l'Université d'Aix Marseille, nous recherchons des candidats pour un contrat doctoral de 3 ans, débutant en septembre 2014, portant sur l'analyse automatique de documents vidéo, et plus particulièrement sur des approches multimodales de traitement de l'information visuelle, audio et texte.

Nous recherchons des candidats titulaire d'un Master Informatique (ou équivalent), ou en cours d'obtention d'un tel Master (et qui sont actuellement en stage).

La date limite de candidature est fixée au 25 avril 2014. Le dossier de candidature est composé d'un CV détaillé, la copie du dernier diplôme ou de l'attestation de réussite avec un relevé de notes et tous les éléments que vous jugerez utiles de joindre pour conforter votre dossier de candidature.

Le titre de la proposition de thèse est : 'Compréhension Multimodale – vers des traitements joints audio/image pour la compréhension multimodale de documents vidéo'
Mots-clés : traitement automatique de la parole, traitement automatique de la langue, traitement d'image, apprentissage automatique, recherche d'information.
Une description du sujet est disponible à l'adresse suivante : http://pageperso.lif.univ-mrs.fr/~frederic.bechet/prop_these_court_DGA2014_LIF_TALEP.pdf

Pour toute demande de renseignement : frederic.bechet@univ-amu.fr

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Research Assistant/Associate in Statistical Spoken Dialogue

Systems (Fixed Term)

Applications are invited for a research position in statistical spoken dialogue systems in the

Dialogue Systems Group at the Cambridge University Engineering Department. The position

is sponsored by Toshiba Cambridge Research Laboratory.

The main focus of the work will be on the development of techniques and algorithms for

implementing robust statistical dialogue systems which can support conversations ranging

over very wide, potentially open, domains. The work will extend existing techniques for

belief tracking and decision making by distributing classifiers and policies over the

corresponding ontology.

The successful candidate will have good mathematical skills and be familiar with machine

learning. S/he will have the ability to design tests and experiments and to design and

develop new methods and algorithms to address research objectives and find solutions.

Preference will be given to candidates with specific understanding of Bayesian methods and

reinforcement learning, experience in spoken dialogue systems, and strong software

engineering skills. Candidates with good communication and writing skills and knowledge of

semantic web, OWL and ontologies will be at an advantage. Candidates should have, or will

shortly have, a PhD in an area related to speech technology. However, candidates with

comparable research experience are also encouraged to apply.

This is an exciting opportunity to join one of the leading groups in statistical speech and

language processing. Cambridge provides excellent research facilities and there are

extensive opportunities for collaboration, visits and attending conferences.

Salary Ranges: Research Assistant: £24,289 ‐ £27,318 Research Associate: £28,132 ‐ £36,661

Fixed‐term: The funds for this post are available for 24 months in the first instance.

The post is based in Central Cambridge, Cambridge, UK.

Once an offer of employment has been accepted, the successful candidate will be required

to undergo a health assessment.

To apply online for this vacancy, please click on the 'Apply' button below. This will route you

to the University's Web Recruitment System, where you will need to register an account (if

you have not already) and log in before completing the online application form.

Please ensure that you upload your Curriculum Vitae (CV), a statement of research interests

and a covering letter in the Upload section of the online application. If you upload any

additional documents which have not been requested, we will not be able to consider these

as part of your application. Please submit your application by midnight on the closing date.

If you have any questions about this vacancy or the application process, please contact:

Elisabeth Barlow, email Elisabeth.Barlow@admin.cam.ac.uk. (Tel +44 01223 765692)

Please quote reference NM03182 on your application and in any correspondence about this

vacancy.

The University values diversity and is committed to equality of opportunity.

The University has a responsibility to ensure that all employees are eligible to live and work

in the UK

Apply online link:

<a href='http://hrsystems.admin.cam.ac.uk/recruit‐ui/apply/NM03182' class='campl‐primarycta'>

Apply online</a>

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Post-doctoral position in Cognitive Neuroscience (MRG Group)

Applications are invited for a full-time post-doctoral research position in the MULTISENSORY RESEARCH GROUP, led by Salvador Soto-Faraco, at the Pompeu Fabra University (Barcelona).

The group addresses the behavioral and neural expression of multisensory integration processes and their underlying mechanisms in the brain. This research spans several perceptual domains (speech, temporal and spatial processing, in vision, audition and touch, and body representation) and research approaches (psychophysics, neuroimaging, and brain stimulation with TMS).

We seek a person with solid, demonstrable experience who is able to lead a research line complementary to the group’s activities. Involvement in some organizational and management aspects is expected. The candidate must have (1) a PhD degree at the moment of application or soon thereafter (Sept 2014), (2) a solid demonstrable experience with publications in the field of Cognitive or Computational Neuroscience, and (3) strong motivation for multisensory integration, perception and attention. Please, bear in mind that applications that do not meet these standards will not be considered. Candidates outside the EU are welcome to apply but they might have to clear working visa requirements on their own.

We offer onsite ERP/EEG, TMS, and psychophysical testing facilities, neuronavigation system, a wide range of visual auditory and somatosensory stimulation equipment, and the use of fMRI and MEG recording facilities externally. The position will be funded for up to three years.

Starting date: Sept 2014 or before.

Salary: Commensurate with experience (up to 47,300Eur/Year gross)

How to apply

Applications should include:

- a full CV

- a short cover letter including a statement of research interests

- the names of three scholars who are willing to serve as references for the applicant

Check out www.mrg.upf.edu for info on the group. For informal enquiries about the position and applications, please contact Salvador Soto-Faraco at applications.MRGLab@gmail.com.

Deadline May 7th, 2014

Please, mention that you are applying to the POSTDOCTORAL position in the email subject.

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OFFRE DE THÈSE–ASLAN2014-2017

BABILLAGE ET ORALITE ALIMENTAIRE

La candidature à retourner par voie électronique à Sophie Kern (Sophie.Kern@univ-lyon2.fr) et Mélanie Canault (melanie.canault@univ-lyon1.fr).

 Cadre de la thèse

Cette thèse, financée par le laboratoire d’excellence ASLAN (Advanced studies on language complexity). Le financement est de l’ordre de 1 350 €net par mois sur une durée de 3 ans.

 Responsables scientifiques :

Sophie KERN et Mélanie CANAULT

 Laboratoire de rattachement : laboratoire DDL Dynamique Du Langage (UMR5596 CNRS – Université Lumière Lyon 2, Lyon, France)

 Date de recrutement : septembre 2014 - octobre 2014

 Date limite de candidature : 31 mai 2014

 Documents demandés : un CV détaillé accompagné d’une lettre de motivation. Le CV devra clairement faire état du parcours universitaire et des compétences acquises par le candidat. Les relevés de notes de master 1 et 2 sont également exigés.

 Profil du candidat

Cette proposition de thèse s’adresse principalement à des étudiants titulaires d’un Master en sciences du langage ou en sciences cognitives. Le candidat sélectionné devra être intéressé par l’acquisition du langage chez le très jeune enfant. Les candidatures étrangères sont recevables à condition que le candidat ait une excellente maîtrise du français, à l’oral comme à l’écrit.

Dans l’idéal, le candidat devra présenter des connaissances dans l’un ou plusieurs des domaines suivants :

- Psycholinguistique développementale.

- Phonétique acoustique utilisation de logiciels de traitement du signal : Praat®.

- Oralité alimentaire

Et avoir une expérience dans l’expérimentation avec les jeunes enfants.

 Description du projet

Le développement oro-moteur au cours de la première année de vie est un processus extrêmement riche et complexe qui va conduire le jeune enfant sur le chemin du développement linguistique.

La période du babillage (6-12 mois) est souvent décrite comme une étape cruciale du processus d’acquisition du langage au cours de laquelle le potentiel articulatoire du bébé va considérablement progresser. Cette période est très facilement identifiée par les parents car elle correspond à l’émergence des premières syllabes. Ces dernières seraient le résultat de la superposition du mouvement vertical de la mandibule à la phonation (MacNeilage 1998).

Au stade du babillage, la mandibule est donc un articulateur dominant. Cela s’explique par les liens anatomiques, cérébraux et moteurs existants entre l’activité de parole et celle de nutrition (Luschei & Goldberg 1981, Lund et Enomoto 1988, Rizzolatti et al. 1996, Fogassi et Ferrari 2005), et c’est en partie pour ces raisons que les professionnels du langage établissent un lien étroit entre le développement de l’oralité alimentaire et celui du langage (Rééducation Orthophonique 2004).

La mandibule est ainsi directement impliquée dans le développement de l’oralité. Néanmoins, le contrôle moteur du bébé est immature et ses mouvements mandibulaires sont plus lents que ceux de l’adulte. En effet, la parole adulte s’établit sur un rythme s’élevant à 5-6Hz (Jürgens 1998, Lindblom 1983) alors que les productions précoces avoisinent les 2.5-3Hz (Dolata 2008). Le timing des mouvements mandibulaires doit donc se réorganiser au cours du développement. On émet l’hypothèse que des changements importants surviendraient au cours de la premières année, d’une part, parce que des études ont montré que les patrons cinématiques de la mandibule se rapprocheraient de ceux de l’adulte dès l’âge d’un an (Green et al 2000, 2002) et d’autre part, parce que des travaux préliminaires nous ont permis (Canault & Laboissière 2011, Fouache & Malcor 2013) de montrer, grâce à l’observation de la durée syllabique, qu’une accélération de l’oscillation mandibulaire s’amorçait entre l’âge de 8 mois et celui de 12 mois. Toutefois, les tendances dégagées doivent être confirmées.

L’enjeu parait important au vu du caractère prédictif du babillage. Des travaux ont en effet déjà fait ressortir que les productions du babillage et des premiers mots pouvaient rendre compte du potentiel articulatoire et communicatif ultérieur (Stoel-Gammon 1988, Stark et al. 1988, Oller et al. 1999, Levin 1999, Otapowicz et al. 2007, Nip et al. 2010), mais aucun ne s’appuie sur le paramètre temporel ni ne s’appuie sur les caractéristiques segmentales et structurelles des productions.

Objectifs

1. Définir des étapes charnières de l’oralité alimentaire au cours des deux premières années de vie.

2. Etablir le lien entre les étapes de l’oralité alimentaire et les étapes du babillage en termes de fréquences oscillatoires et de caractéristiques structurelles des énoncés (ex : fréquences des réduplication, contenu segmental….

3. Déterminer les liens entre les caractéristiques du babillage et le développement lexical.

Canault, M. & Laboissière, R. (2011). Le babillage et le développement des compétences articulatoires : indices temporels et moteurs. Faits de langues, 37, 173-188.

Dolata J.K., Davis, B.L. & MacNeilage, P.F. (2008). Characteristics of the rhythmic organization of vocal babbling: implications for an amodal linguistic rhythm. Infant behavior & development, 31 (3), 422-431.

Fogassi L. & Ferrari P.F. (2005). Mirror neurons, gestures and language evolution. Interaction Studies, 5 (3), 345-363.

Fouache, M. & Malcor M. (2013). Evolution de la fréquence d’oscillation mandibulaire du babillage canonique aux premiers mots. Mémoire d’orthophonie, Université Lyon1.

Green, J.R., Moore, C.A., Higashikawa, M. & Steeve, R.W. (2000). The physiologic development of speech motor control: lip and jaw coordination. Journal of Speech, Language, and Hearing Research, 43, 239-255.

Green, J.R., Moore, C.A. & Reilly, K.J. (2002). The sequential development of jaw and lip control for speech. Journal of Speech, Language, and Hearing Research, 45, 66-79.

Jürgens U. (1998). Speech evolved from vocalization, not mastication. Commentaire à MacNeilage P.F.(1998). The Frame/Content theory of evolution of speech production. Behavioral and Brain Sciences, 21, 519-520.

Kern, S. & Gayraud, F (2010). IFDC. Les éditions la cigale, Grenoble.

Levin K. (1999). Babbling in infants with cerebral palsy. Clinical Linguistics & Phonetics, 13 (4), 249-267.

Lindblom B. (1983). Economy of speech gestures. In The Production of Speech. MacNeilage P.F. (Ed.).New York, Springer, 217-245.

Lund J.P. & Enomoto S. (1988).The generation of mastication by the central nervous system. In Neural control of rhythmic movement. Cohen A., Rossignol S. & Grillenr S. (Eds.). New York, Wiley,41-72.

Luschei E.S. & Goldberg L.J. (1981). Mastication and voluntary biting. In Handbook of physiology: the nervous system, vol.2. Brooks V.B. (Ed.). Bethesda, American Physiological Society, 1237-1274.

MacNeilage P.F. (1998).The Frame/Content theory of evolution of speech production. Behavioral and Brain Sciences, 21, 499-546.

Nip I.S.B., Green J.R. & Marx D.B. (2010). The co-emergence of cognition, language, and speech motor control in early development : A longitudinal correlation study. Journal of Communication Disorders, 44 (2), 149-160.

Oller D.K., Eilers R.E., Neal A.R. & Schwartz H.K. (1999). Precursors to speech in infancy: the prédiction of speech and language disorders. Journal of Communication Disorders, 32, 223-245.

Otapowicz D., Sobaniec W., Kutak W., Sendrowski K. (2007). Severity of dysarthric speech in children with infantile cerebral palsy in correlation with the brain CT and MRI. Advances in Medical Sciences, 52, 188-223.

Les troubles de l’oralité alimentaire, Rééducation Orthophonique, 220, 2004.

Rizzolatti G., Fadiga L., Gallese V. & Fogassi L. (1996). Premotor cortex and the recognition of motor actions. Cognitive Brain Research, 3, 131-141.

Stark R.E., Ansel B.M. & BOND J. 1988. Are prelinguistics abilities predictive of learning disability? A follow-up study. In Preschool prevention of reading failure. Maslan R.L. & Masland M. (Eds.). Parkton, York Press.

Stoel-Gammon C. 1988. Prelinguistic vocalisations of hearing-impaired and normally hearing subjects: a comparison of consonantal inventories. Journal of Speech and Hearing Disorders, 53, 302-315.

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Human-Computer Interaction

Prof. Dr. Frank Steinicke

* The temporary deployment is based on § 2 Wissenschaftszeitvertragsgesetz.

!

Faculty: Mathematics, Computer Science and Natural Science

Department: Computer Science

Area: Human-Computer Interaction

The Human-Computer Interaction group at the University of Hamburg is seeking for talents!

We invite applications for the position of a

Scientific Associate (Doctoral Student)

to be filled for a period of three years as soon as possible.* Salary for the position is according to E13

TV-L (100% position, which corresponds to 39 hours of work per week).

The University of Hamburg seeks to increase the number of female researchers, and we particularly

invite women to apply. Women will be given preference if they are equally qualified. Part-time positions

are also possible.

Responsibilities:

The responsibilities include academic services, in particular teaching and research. According to § 28

Abs. 1 S. 3 Hamburgisches Hochschulgesetz (HmbHG), the candidate will get the opportunity for

scientific qualification, in particular to pursue a doctoral degree.

Job Description:

We are looking for highly motivated candidates, who are eager to get involved in cutting edge research

as well as creative teaching approaches in human-computer interaction. It is required that

candidates hold a (natural scientific) university degree (diploma or master), preferably in the fields

human-computer interaction or computer science (in media). Applicants should have solid background

in programming and interest in interdisciplinary teamwork.

Skills and knowledge are preferred in the fields of in-/output devices (e.g., stereoscopic 3D-displays,

tracking systems, multi-touch devices), good command of English, as well as interests in at least one

of the following research fields:

• Human-Computer Interaction,

• Virtual, Augmented or Mixed Reality,

• Interactive 3D Computer Graphics or Computer Vision,

• Interaction Design,

• Perceptual Psychology, and/or

• Cognitive Sciences.

Condition of Employment:

It is required that candidates hold a university degree in areas according to the job description.

Handicapped person will be given preference over nonpreferential persons if they are equally qualified.

Applications with the typical information (covering letter, CV, certificates) should be sent as pdf document

not later than June 1st, 2014 to Prof. Dr. Frank Steinicke, Human-Computer Interaction, Department

of Computer Science, Vogt-Köln-Str, 30, 22527 Hamburg, Germany.

For further information, please contact Prof. Dr. Frank Steinicke (steinicke@informatik.unihamburg.

de).

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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/)

Supervisor: Khalid Daoudi (khalid.daoudi@inria.fr)

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 [1,2].

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 and of different origin, 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 [3].

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 signals and systems, which is

better suited to analyzing the range of nonlinear and turbulent phenomena observed in pathological

voices in general, 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 [4] and which led, in

particular, to new and promising techniques for pathological voice analysis. The goal will be 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 Pellegrin Hospital in Bordeaux, in the set up of the experimental protocol and data collection.

The latter will consist in recording patient's voices using a numerical recorder and the DIANA/EVA2

workstations (http://www.sqlab.fr/).

References:

[1] Pinto, S et al. Treatments for dysarthria in Parkinson's disease. The Lancet Neurology. Vol 3, Issue 9, 2004.

[2] Auzou, P.; Rolland, V.; Pinto, S., Ozsancak C. (eds.). Les dysarthries. Editions Solal. 2007.

[3] Tsanas A et al. Novel speech signal processing algorithms for high-accuracy classification of Parkinson’s

disease . IEEE Transactions on Biomedical Engineering, 2012; 59 (5):1264-1271.

[4] PhD thesis of Vahid Khanagha. GeoStat team, INRIA Bordeaux-Sud Ouest. January 2013.

http://geostat.bordeaux.inria.fr/images/vahid%20khanagha%204737.pdf

Duration: 3 years (starting fall 2014)

Net Salary: ~1700 € / month (including health care insurance)

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.

Candidates should send a CV to khalid.daoudi@inria.fr and also apply via the Inria website:

http://www.inria.fr/en/institute/recruitment/offers/phd/campaign-2014/(view)/details.html?

id=PNGFK026203F3VBQB6G68LOE1&LOV5=4509&LG=EN&Resultsperpage=20&nPostingID=83

24&nPostingTargetID=14059&option=52&sort=DESC&nDepartmentID=28

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Thèse à Orange Labs: analyse en locuteurs d'une collection de documents multi-média

Les personnes présentes dans les contenus multi-média constituent une méta-donnée clé pour la recherche et la navigation dans les contenus.

L’analyse en personne d’un document multi-média, sur sa composante audio, implique d’abord une étape de segmentation en locuteurs en tours de parole, puis de regroupement des tours de parole venant du même locuteur. Ensuite, une étape d’extraction de caractéristiques de ce locuteur (en rôle par exemple), et une étape d’identification de ce locuteur sont possibles. L’identification du locuteur peut être réalisée soit à l’aide de caractéristiques biométriques, impliquant l’existence préalable d’un modèle biométrique de la voix du locuteur, soit à l’aide d’un modèle d’inférence de l’identité, à partir d’informations permettant de nommer les locuteurs de façon non-ambigüe (par exemple en utilisant les contextes des noms détectés dans les caractères incrustés à l’écran ou dans la parole ou dans les sous-titres).

Alors que l’immense majorité des traitements d’analyse en personnes des contenus multi-média a été jusqu’à présent focalisée sur l’analyse des documents audio pris isolément, les études récentes en segmentation et regroupement en locuteurs abordent l’aspect « inter-contenu » (apparaissant dans la littérature sous les termes « cross-show speaker diarization », « speaker linking » ou « speaker attribution »), pour associer les tours de parole d’un même locuteur, à travers différents contenus. L’approche proposée dans cette thèse est d’approfondir cet aspect inter-contenu, en abordant l’analyse en locuteurs sous l’angle des collections, où la collection est définie comme un ensemble de documents audiovisuels présentant des caractéristiques communes (e.g. nom de l’émission, date de diffusion, thème, etc).

Cette approche par collections doit permettre d’une part d’améliorer robustesse et performances, et d’autre part d’offrir une représentation synthétique de la collection en termes de personnes ainsi que de nouveaux modes d’exploration de la collection, par l’analyse des relations entre les personnes présentes dans cette collection.

Par exemple, si la collection est constituée de plusieurs épisodes d’une même émission, l’objectif pourrait être d’inférer la structure de l’émission (présentateur, chroniqueur, invités) et d’identifier en particulier les invités. Si la collection concerne des documents relatifs à l’actualité sur une période temporelle courte, l’analyse en locuteurs de cette collection permettrait d’étudier un évènement à travers l’ensemble de ses acteurs, et pourrait compléter de façon pertinente les technologies de suivi d’actualité.

La thèse se déroulera dans les locaux d’Orange Labs, à Lannion, sous la forme d’un CDD de 36 mois, avec une rémunération motivante.

Elle s’adresse à un étudiant diplômé du 2^ème cycle (master2 ou ingénieur), ayant des compétences en traitement automatique de la parole, et/ou fouilles de données et apprentissage automatique

Pour plus d’informations : http://orange.jobs/jobs/offer.do?joid=38569&lang=fr&wmode=light

Ou contacter directement : delphine.charlet@orange.com

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Post-Doc Position 'Visual analysis and synthesis of affects'

Description : 
In the communication between men or between men and machines, the expression of mental states, emotional, feelings, intentions or attitudes of the speaker is a source of information that plays an important role in understanding the context of speech. The study of psychological and emotional states provides more evidence of the fundamental role of affects for communication understanding. Affects are expressed by different levels of audio and visual cognitive processes: some expressions cannot be voluntarily controlled (emotions) while others are intentional (attitudes and expressiveness language, choice of vocabulary and grammatical paraphrases). Affects depend on the culture which may lead to mis-interpretations in communication. They should therefore be thought of when learning foreign languages. Similarly, affects should be integrated in automatic translators. Affects are present both in the speech and the body language. We are here particularly interested in finding the v!
isual characteristics of the attitudinal expressions (seduction, irony, irritation, admiration etc.) in three cultures (US, Japan and France).
The postdoctoral fellow will first extract different spatio-temporal descriptors for gestural and facial expressions classification. Existing studies in cognitive sciences will be used to select the correct characteristics for each part of the face and body. If needed new descriptors will be designed. He will also have
to participate to validations through perception tests on panel of native speakers. In a second part, we are interested in generating attitudes by realizing morphing from a neutral expression to a given attitude. This second phase will also include improving our voice transformation technique.

Profile of applicant:
PhD in computer science, cognitive science or applied mathematics. A good experience with image processing
is required and good programming skills in Matlab and/or C/C++. Knowledge of speech processing techniques is definitely a plus.

Duration: 16 months
Job statuts: PostDoctoral researcher, full time
LOCATION : LaBRI, UMR 5800, Université de Bordeaux, Talence, France
DATE: As soon as possible

-details of announcement: http://cpu.labex.u-bordeaux.fr/Jobs/Post-doc_Visual-analysis-and-synthesis-of-affects,Job-140.html

Supervisors/Contact:
Aurélie Bugeau, LaBRI : aurelie.bugeau@labri.fr
Takaaki Shochi, CLLE-ERSSàB, LABRI :Takaaki.Shochi@u-bordeaux3.fr
Jean-Luc Rouas, LaBRI : jean-luc.rouas@labri.fr
Application:

A CV and a motivation letter have to be sent to Aurélie Bugeau, Takaaki Shochi and Jean-Luc Rouas.
Application deadline: July 2014

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Call for application

A five-month Research Assistant position is open for application at the Laboratoire Parole et Langage, Aix-en-Provence, France. 

The successful candidate will participate in the SPIC (Speaking in Concert: Cerebral, articulatory and acoustic convergence 

between speakers in conversational interaction) research project, jointly conducted by Luciano Fadiga, Leonardo Badino and 

Alessandro D'Ausilio (Italian Institute of Technology, Genova, Italy) and Noël Nguyen, Simone Falk and

 Thierry Legou (Laboratoire Parole et Langage). The goal of this project is to better understand what makes speakers 

sound more like each other in a conversational interaction, by means of simultaneously recorded cerebral, articulatory and 

acoustic data. The position is funded by the Brain and Language Research Institute at Aix-Marseille University (blri.fr).

At the end of the contract, the possibility will be offered to the candidate to start a PhD with a joint affiliation to the IIT and 

the LPL, in the framework of the same project.

Qualifications: Master's degree in any of the following disciplines: Speech and Language Sciences, Speech and Language

 Technology, Neurosciences, Cognitive Sciences. A strong background in computer science and mathematics is necessary. 

Experience with EEG or articulatory measures in speech production will be appreciated.

Salary: 1760 euros / month.

Starting date: as early as June 2014.

How to apply: Applicants should send a cover letter, a CV and the names and contact information of two references to 

Noel Nguyen (noel.nguyen@lpl-aix.fr).

Links:
. Laboratoire Parole et Langage: http://www.lpl-aix.fr
. Robotics, Brain and Cognitive Sciences Department, Italian Institute of Technology: 

http://www.iit.it/en/research/departments/robotics-brain-and-cognitive-sciences.html
. Brain and Language Research Institute: http://blri.fr

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OFFRE DE THÈSE–ASLAN 2014-2017

BABILLAGE ET ORALITE ALIMENTAIRE

La candidature à retourner par voie électronique à Sophie Kern (Sophie.Kern@univ-lyon2.fr) et Mélanie Canault (melanie.canault@univ-lyon1.fr).

 Cadre de la thèse

Cette thèse, financée par le laboratoire d’excellence ASLAN (Advanced studies on language complexity). Le financement est de l’ordre de 1 350 €net par mois sur une durée de 3 ans.

 Responsables scientifiques :

Sophie KERN et Mélanie CANAULT

 Laboratoire de rattachement : laboratoire DDL Dynamique Du Langage (UMR5596 CNRS – Université Lumière Lyon 2, Lyon, France)

 Date de recrutement : septembre 2014 - octobre 2014

 Date limite de candidature : 31 mai 2014

 Documents demandés : un CV détaillé accompagné d’une lettre de motivation. Le CV devra clairement faire état du parcours universitaire et des compétences acquises par le candidat. Les relevés de notes de master 1 et 2 sont également exigés.

 Profil du candidat

Cette proposition de thèse s’adresse principalement à des étudiants titulaires d’un Master en sciences du langage ou en sciences cognitives. Le candidat sélectionné devra être intéressé par l’acquisition du langage chez le très jeune enfant. Les candidatures étrangères sont recevables à condition que le candidat ait une excellente maîtrise du français, à l’oral comme à l’écrit.

Dans l’idéal, le candidat devra présenter des connaissances dans l’un ou plusieurs des domaines suivants :

- Psycholinguistique développementale.

- Phonétique acoustique utilisation de logiciels de traitement du signal : Praat®.

- Oralité alimentaire

Et avoir une expérience dans l’expérimentation avec les jeunes enfants.

 Description du projet

Le développement oro-moteur au cours de la première année de vie est un processus extrêmement riche et complexe qui va conduire le jeune enfant sur le chemin du développement linguistique.

La période du babillage (6-12 mois) est souvent décrite comme une étape cruciale du processus d’acquisition du langage au cours de laquelle le potentiel articulatoire du bébé va considérablement progresser. Cette période est très facilement identifiée par les parents car elle correspond à l’émergence des premières syllabes. Ces dernières seraient le résultat de la superposition du mouvement vertical de la mandibule à la phonation (MacNeilage 1998).

Au stade du babillage, la mandibule est donc un articulateur dominant. Cela s’explique par les liens anatomiques, cérébraux et moteurs existants entre l’activité de parole et celle de nutrition (Luschei & Goldberg 1981, Lund et Enomoto 1988, Rizzolatti et al. 1996, Fogassi et Ferrari 2005), et c’est en partie pour ces raisons que les professionnels du langage établissent un lien étroit entre le développement de l’oralité alimentaire et celui du langage (Rééducation Orthophonique 2004).

La mandibule est ainsi directement impliquée dans le développement de l’oralité. Néanmoins, le contrôle moteur du bébé est immature et ses mouvements mandibulaires sont plus lents que ceux de l’adulte. En effet, la parole adulte s’établit sur un rythme s’élevant à 5-6Hz (Jürgens 1998, Lindblom 1983) alors que les productions précoces avoisinent les 2.5-3Hz (Dolata 2008). Le timing des mouvements mandibulaires doit donc se réorganiser au cours du développement. On émet l’hypothèse que des changements importants surviendraient au cours de la premières année, d’une part, parce que des études ont montré que les patrons cinématiques de la mandibule se rapprocheraient de ceux de l’adulte dès l’âge d’un an (Green et al 2000, 2002) et d’autre part, parce que des travaux préliminaires nous ont permis (Canault & Laboissière 2011, Fouache & Malcor 2013) de montrer, grâce à l’observation de la durée syllabique, qu’une accélération de l’oscillation mandibulaire s’amorçait entre l’âge de 8 mois et celui de 12 mois. Toutefois, les tendances dégagées doivent être confirmées.

L’enjeu parait important au vu du caractère prédictif du babillage. Des travaux ont en effet déjà fait ressortir que les productions du babillage et des premiers mots pouvaient rendre compte du potentiel articulatoire et communicatif ultérieur (Stoel-Gammon 1988, Stark et al. 1988, Oller et al. 1999, Levin 1999, Otapowicz et al. 2007, Nip et al. 2010), mais aucun ne s’appuie sur le paramètre temporel ni ne s’appuie sur les caractéristiques segmentales et structurelles des productions.

Objectifs

1. Définir des étapes charnières de l’oralité alimentaire au cours des deux premières années de vie.

2. Etablir le lien entre les étapes de l’oralité alimentaire et les étapes du babillage en termes de fréquences oscillatoires et de caractéristiques structurelles des énoncés (ex : fréquences des réduplication, contenu segmental….

3. Déterminer les liens entre les caractéristiques du babillage et le développement lexical.

Canault, M. & Laboissière, R. (2011). Le babillage et le développement des compétences articulatoires : indices temporels et moteurs. Faits de langues, 37, 173-188.

Dolata J.K., Davis, B.L. & MacNeilage, P.F. (2008). Characteristics of the rhythmic organization of vocal babbling: implications for an amodal linguistic rhythm. Infant behavior & development, 31 (3), 422-431.

Fogassi L. & Ferrari P.F. (2005). Mirror neurons, gestures and language evolution. Interaction Studies, 5 (3), 345-363.

Fouache, M. & Malcor M. (2013). Evolution de la fréquence d’oscillation mandibulaire du babillage canonique aux premiers mots. Mémoire d’orthophonie, Université Lyon1.

Green, J.R., Moore, C.A., Higashikawa, M. & Steeve, R.W. (2000). The physiologic development of speech motor control: lip and jaw coordination. Journal of Speech, Language, and Hearing Research, 43, 239-255.

Green, J.R., Moore, C.A. & Reilly, K.J. (2002). The sequential development of jaw and lip control for speech. Journal of Speech, Language, and Hearing Research, 45, 66-79.

Jürgens U. (1998). Speech evolved from vocalization, not mastication. Commentaire à MacNeilage P.F.(1998). The Frame/Content theory of evolution of speech production. Behavioral and Brain Sciences, 21, 519-520.

Kern, S. & Gayraud, F (2010). IFDC. Les éditions la cigale, Grenoble.

Levin K. (1999). Babbling in infants with cerebral palsy. Clinical Linguistics & Phonetics, 13 (4), 249-267.

Lindblom B. (1983). Economy of speech gestures. In The Production of Speech. MacNeilage P.F. (Ed.).New York, Springer, 217-245.

Lund J.P. & Enomoto S. (1988).The generation of mastication by the central nervous system. In Neural control of rhythmic movement. Cohen A., Rossignol S. & Grillenr S. (Eds.). New York, Wiley,41-72.

Luschei E.S. & Goldberg L.J. (1981). Mastication and voluntary biting. In Handbook of physiology: the nervous system, vol.2. Brooks V.B. (Ed.). Bethesda, American Physiological Society, 1237-1274.

MacNeilage P.F. (1998).The Frame/Content theory of evolution of speech production. Behavioral and Brain Sciences, 21, 499-546.

Nip I.S.B., Green J.R. & Marx D.B. (2010). The co-emergence of cognition, language, and speech motor control in early development : A longitudinal correlation study. Journal of Communication Disorders, 44 (2), 149-160.

Oller D.K., Eilers R.E., Neal A.R. & Schwartz H.K. (1999). Precursors to speech in infancy: the prédiction of speech and language disorders. Journal of Communication Disorders, 32, 223-245.

Otapowicz D., Sobaniec W., Kutak W., Sendrowski K. (2007). Severity of dysarthric speech in children with infantile cerebral palsy in correlation with the brain CT and MRI. Advances in Medical Sciences, 52, 188-223.

Les troubles de l’oralité alimentaire, Rééducation Orthophonique, 220, 2004.

Rizzolatti G., Fadiga L., Gallese V. & Fogassi L. (1996). Premotor cortex and the recognition of motor actions. Cognitive Brain Research, 3, 131-141.

Stark R.E., Ansel B.M. & BOND J. 1988. Are prelinguistics abilities predictive of learning disability? A follow-up study. In Preschool prevention of reading failure. Maslan R.L. & Masland M. (Eds.). Parkton, York Press.

Stoel-Gammon C. 1988. Prelinguistic vocalisations of hearing-impaired and normally hearing subjects: a comparison of consonantal inventories. Journal of Speech and Hearing Disorders, 53, 302-315.

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PhD Fellowships to start in 2014

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Position:         1 (W/M) developer position at IRCAM for Large-Scale Audio Indexing

Starting:         September 1st, 2014

Duration:       15 months

Deadline for application:    July 1st, 2014

The BeeMusic project aims at providing the description of music for large-scale collections (several millions of music titles). In this project IRCAM is in charge of the development of music content description technologies (automatic recognition of genre or mood, audio fingerprint …) for large-scale music collections.

Position description 201406BMDEV:

-------------------------

For this project IRCAM is looking for a good developer -for the C++ development of the audio content analysis technologies and -the development of the management system for the storage, access and search over 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 C++ development (including template-based meta-programming)

*High skill in scalable indexing technologies and distributed framework (hash-table, Hadoop, SOLR)

*High skill in database management systems

*Good Skills in Matlab, Python and Java

*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 with the reference 201406BMDEV 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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Subject : « NEUROPROS- Neurophysiological Investigation of prosodic cues processing by monolingual French and Spanish speakers, and bilingual speakers (French-Occitan and French-Spanish) »

Supervisors: Barbara Köpke, Denis Fize, Corine Astésano, Radouane El Yagoubi

Host Laboratories:

U.R.I Octogone-Lordat (EA 4156), Université de Toulouse II

CERCO (UMR 5549), Université Paul Sabatier - Toulouse III

Discipline: Linguistics

Doctoral School: Comportement, Langage, Education, Socialisation, Cognition (CLESCO)

Scientific description of the research project:

The project falls within an eminently interdisciplinary approach (linguistics, cognitive

neuropsychology and neurosciences) aiming at studying prosodic cues processing by

monolingual and bilingual French speakers. French is a language with so-called post-lexical,

non-distinctive accentuation, contrary to languages like Spanish, Catalan or Occitan where

accentual patterns are represented in the lexical entry. These prosodic characteristics have

lead to consider French as a ‘language without accent’ (Rossi, 1980), which makes it difficult

for this language to be integrated in models of speech processing (Cutler et al, 1997) since

they are mostly based on the metrical and accentual characteristics of languages (Cutler &

Norris, 1988). Also, these prosodic characteristics are said to be responsible for some degree

of ‘stress deafness’ by French listeners in foreign languages (Dupoux et al, 1997, inter alia).

However, if one considers the French accentual system in all its complexity, taking into

account the interaction between the primary final accent and the secondary initial accent in

the marking of prosodic constituents (Di Cristo, 2000), it becomes possible to postulate a role

of French accentuation in speech segmentation and lexical access strategies (Bagou &

Frauenfelder, 2006). More particularly, the Initial Accent seems to play a predominant role in

the marking of prosodic constituents in French (Astésano et al, 2007) and it is clearly

perceived by naïve listeners (Astésano et al, 2012). Recent neuroimaging studies (EEG)

indicate that metric incongruity slows lexical access in French (Magne et al, 2007). More

recently, we showed in a MisMatch Negativity paradigm that French listeners can readily

discriminate stress patterns in French and that the Initial Accent is encoded in long-term

memory at the level of the lexical word in French (Aguilera et al, 2014).

It is now necessary to consolidate these results by extending our investigations to other EEG

paradigms and by adapting the protocols to fMRI, in order to more precisely describe the

neural substrates and the temporal dynamics of prosodic cues processing in French.

Furthermore, these processing strategies have been observed on monolingual speakers only.

Comparing the linguistic strategies of monolingual and bilingual speakers (French, Spanish

and/or Catalan monolinguals, French/Occitan – French/Spanish or French/Catalan bilinguals)

will not only allow us to considerably enrich our comprehension of lexical access

mechanisms in these languages with different prosodic systems, but also to observe the

influence of the use of several languages with different stress patterns on the perception and

processing of prosodic cues.

The selected candidate will benefit from a stimulating scientific environment: (s)he will

integrate the Interdisciplinary Research Unit Octogone-Lordat (Toulouse II :

http://octogone.univ-tlse2.fr/) and will be co-supervised by Prof. Barbara Köpke, a specialist

on bilingualism, and by Dr. Denis Fize at the Research Centre on Brain and Cognition

(CERCO, Toulouse III), a researcher in Neurosciences and neuroimaging specialist. The

research will take place in the frame of a research group managed by Dr. Corine Astésano, a

specialist in prosody, and with Dr. Radouane El Yagoubi, a specialist of cognitive

neurosciences and psychology. The project is also connected to the French ANR research

project PhonIACog (http://aune.lpl-aix.fr/~phoniacog/) managed by Dr. Corine Astésano.

Bibliography

Aguilera, M. ; El Yagoubi, R. ; Espesser, R. ; Astésano, C. (2014). Event Related Potential investigation of Initial Accent

processing in French. Speech Prosody 2014, Dublin, U.K., May 20-23 2014 : 383-387.

Astésano, C.; Bard, E.; Turk, A. (2007) Structural influences on Initial Accent placement in French. Language and Speech,

50 (3), 423-446.

Astésano, C.; Bertrand, R.; Espesser, R.; Nguyen, N. (2012). Perception des frontières et des proéminences en français. JEPTALN-

RECITAL 2012, Grenoble, 4-8 juin 2012: 353-360.

Bagou, O., & Frauenfelder, U. H. (2006). Stratégie de segmentation prosodique: rôle des proéminences initiales et finales

dans l'acquisition d'une langue artificielle. Proceedings of the XXVIèmes Journées d'Etude sur la Parole, 571-574.

Cutler, A., & Norris, D. (1988). The role of strong syllables in segmentation for lexical access. Journal of Experimental

Psychology: Human perception and performance, 14(1), 113.

Cutler, A., Dahan, D., & Van Donselaar, W. (1997). Prosody in the comprehension of spoken language: A literature review.

Language and speech, 40(2), 141-201.

Di Cristo, A. (2000). Vers une modélisation de l'accentuation du français (seconde partie). Journal of French Language

Studies, 10(01), 27-44.

Dupoux, E., Pallier, C., Sebastian, N., & Mehler, J. (1997). A destressing “deafness” in French?. Journal of Memory and

Language, 36(3), 406-421.

Magne, C.; Astésano, C.; Aramaki, M.; Ystad, S.; Kronland-Martinet, R.; Besson, M. (2007) Influence of Syllabic

Lengthening on Semantic Processing in Spoken French: Behavioral and Electrophysiological Evidence. Cerebral Cortex

2007, 17(11), 2659-2668. doi: 10.1093/cercor/bhl174.

Rossi, M. (1980). Le français, langue sans accent?. Studia Phonetica Montréal, 15, 13-51.

Required skills:

- Master in Linguistics, cognitive sciences, neuropsychology or equivalent

- Experience in experimental phonetics and/or linguistics, psycholinguistics,

neurolinguistics

- Skills in signal processing (speech, EEG, fMRI) required, and dedication to the

development of these skills is essential

- Experimental skills wished, as well as a yearning for contact with participants and

motivation for the recruitment of participants

- Autonomy and motivation for learning new skills

- Good knowledge of French and English; knowledge of Spanish, Catalan, Occitan an

asset.

Salary:

- 1 684.93€ monthly gross (1 368€ net), 3 year contract

Calendar:

- Sending of applications: 27th june 2014

- Audition of selected candidates: 3rd july 2014

- Start of contract: 1rst october 2014

Applications must be sent to Corine Astésano (corine.astesano at univ-tlse2.fr) and will

include:

- A detailed CV, with list of publications if applicable

- A copy of grades for the Master’s degree

- A summary of the Master’s dissertation and a pdf file of the Master’s dissertation

- A cover letter / letter of interest and/or scientific project (1 page max.)

- The names and email addresses of 2 referent scientific personalities/ supervisors.

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1

1. Acoustic-articulatory modeling for automatic speech recognition

Tutors: Leonardo Badino, Lorenzo Rosasco, Luciano Fadiga

Department: Robotics Brain and Cognitive Sciences (Italian Istitute of Technology), Genova, Italy

http://www.iit.it/rbcs

Description: State-of-the art Automatic Speech Recognition (ASR) systems produce remarkable results in some scenarios but still lags behind human level performance in several real usage scenarios and often perform poorly whenever the type of acoustic noise, the speaker’s accent and speaking style are 'unknown' to the system, i.e., are not sufficiently covered in the data used to train the ASR system.

The goal of the present theme is to improve ASR accuracy by learning representations of speech that combine the acoustic and the (vocal tract) articulatory domain as opposed to purely acoustic representations, which only consider the surface level of speech (i.e., speech acoustics) and ignore its causes (the vocal tract movements). Although in real usage settings the vocal tract cannot be observed during recognition it is still possible to exploit the articulatory representations of speech where phonetic targets (i.e., the articulatory targets necessary to produce a given sound) are largely invariant (e.g., to speaker variability) and complex (in the acoustic domain) speech phenomena have simple descriptions.

Joint acoustic-articulatory modeling will be applied in two different ASR training settings: a typical supervised machine learning setting where phonetic transcriptions of the training utterances are provided by human experts, and a weakly supervised machine learning setting where much sparser and less informative labels (e.g., word-level rather than phone level labels) are available.

Requirements: The successful candidate will have a degree in computer science, bioengineering, physics or related disciplines, and a background in machine learning. Interest in neuroscience.

Reference: King, S., Frankel, J., Livescu, K., McDermott, E., Richmond, K., Wester, M. (2007). 'Speech production knowledge in automatic speech recognition'. Journal of the Acoustical Society of America, vol. 121(2), pp. 723-742.

Contacts: leonardo.badino@iit.it, lorosasco@mit.edu, luciano.fadiga@iit.it 2

2. Speech production for automatic speech recognition in human–robot verbal interaction

Tutors: Giorgio Metta, Leonardo Badino, Luciano Fadiga

Department: iCub Facility (Istituto Italiano di Tecnologia), Genova, Italy

http://www.iit.it/iCub

Description: State-of-the art Automatic Speech Recognition (ASR) systems produce remarkable results in partially controlled scenarios but still lags behind human level performance in unconstrained real usage situations and perform poorly whenever the type of acoustic noise, the speaker’s accent and speaking style are 'unknown' to the system, i.e., are not sufficiently covered in the data used to train the ASR system. The goal of this PhD theme is to attack the problem of ASR in a human to robot conversation. To this aim, we will create a robust Key Phrases Recognition system where commands delivered by the user to the robot (i.e., the key phrases) have to be recognized in unconstrained utterances (i.e., utterances with hesitations, disfluencies, additional out-of-task words, etc.), in the challenging conditions of human-robot verbal interaction where speech is typically distant (to the robot) and noisy. To increase the robustness of the ASR, articulatory information will be integrated into a Deep Neural Network – Hidden Markov Model system.

This work will be carried out and tested on the iCub platform.

Requirements: background in computer science, bioengineering, computer engineering, physics or related disciplines. Solid programming skills in C++, Matlab, GPU (CUDA) are a plus. Attitude for problem solving. Interests in understanding/learning basic biology.

Reference: Barker, J., Vincent, E., Ma, N., Christensen, H., Green, P., (2013) 'The PASCAL CHiME Speech Separation and Recognition Challenge'. Computer Speech and Language, vol. 27(3), pp. 621-633.

Contacts: leonardo.badino@iit.it, giorgio.metta@iit.it, luciano.fadiga@iit.it

Additional information

Starting date: November 2014.

PhD scholarship: the scholarship will cover all fees with a gross salary of 16500 euros/year (≈1250 euros/month after taxes)

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Post-doc position at IMMI-CNRS

A post-doctoral position is proposed at IMMI-CNRS (Orsay, France - http://www.immi-labs.org/). IMMI is an International Joint Research CNRS Unit (UMI) in the field of Multimedia and Multilingual Document Processing. It gathers three contributing partners: LIMSI-CNRS, RWTH Aachen and KIT (Karlsruhe Institute of Technology).

Context of the project

The project relies on an experimental platform for online monitoring of social media and information streams, with self-adaptive properties, in order to detect, collect, process, categorize, and analyze  multilingual streams.  The platform includes  advanced linguistic analysis, discourse analysis, extraction of entities and terminology, topic detection,  translation and the project includes studies on unsupervised and cross-lingual adaptation.

Requirements and objectives

A PhD in a field related to the project (translation, natural language processing or machine learning) is required. The candidate will perform research in the framework mentioned above, and will supervize collection and annotation of the data. Salary will follow CNRS standard rules for contractual researchers, according to the experience of the candidate.

Contacts

• Gilles Adda (adda [at] immi-labs.org)

Agenda

• Opening date: August 2014
• Application deadline: Open until filled
• Duration: 24 months

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Postdoc position on conversation summarization
(Full time, one year - Closing date for applications 2014-07-01)

We are looking for an outstanding research scientist to join the
'SENSEI' european project (http://www.sensei-conversation.eu/). You
will contribute to conversation analysis summarization research to
allow the exploitation of large quantity of comments in social
media and spoken conversations.

Job description:
You will contribute to the design and development of speech and text
summarization technologies for conversational data such as social
media comments and tweets. There will be three components to the
system: linguistic analysis of the conversations, content selection
and aggregation, and generation of the summaries (text or other
media). The approach is expected to make use of recent machine
learning advances such as deep learning, and focus on limiting the
quantity of supervision needed. The prototype will be evaluated by
end-user professionals in ecological conditions.

Profile:
The applicant must hold a PhD degree, preferably in the field of
natural language processing or machine learning. He/she should:
- Be proficient in one of Java / C++ programming and python or php scripting
- Have experience with developing efficient NLP / machine learning systems.
- Be keen on researching the literature and writing papers
- Enjoy team work and be autonomous

Location:
You will work at the LIF computer science lab at Aix-Marseille
University in France, at the Luminy campus next to the
calanques.

Dates:
Interviews will be held in July 2014, the Postdoc will start in
september / october 2014 and last one year.

Contact:
Enquiries and applications should be sent to Benoit Favre:
benoit.favre@lif.univ-mrs.fr

SENSEI project page: http://www.sensei-conversation.eu/

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3 PhD Positions in Speech Processing at LIG/Grenoble (France)

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Two PhD student positions in phonetics or speech science, Saarland
University, Saarbrücken, Germany

Closing date 5 July 2014 (open until filled), positions starting 1
October 2014

http://www.coli.uni-saarland.de/~moebius/page.php?id=jobs

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RESEARCH FACILITATOR IN SPEECH TECHNOLOGY - CLOUDCAST NETWORK

Applications are invited for a position as Research Facilitator in the Speech and Hearing (SPandH) research group and the Centre for Assistive Technology and Connected Healthcare at Sheffield University to work on CloudCAST, a recently-awarded international network funded by the Leverhulme Trust and coordinated by Professor Phil Green. The vision of CloudCAST is

'.. to provide a way in which rapid developments in machine learning and speech technology can be placed in the hands of professionals who deal with speech problems: therapists, pathologists, teachers, assistive technology experts.. We intend to do this by creating a free-of-charge, remotely-located, internet-based resource 'in the cloud' which will provide a set of software tools for personalised speech recognition, diagnosis, interactive spoken language learning and the like. We will provide interfaces which make the tools easy to use for people who are not speech technology experts and create a self-sustaining CloudCAST community to manage future development.'

CloudCAST involves collaboration with

•     the University of Toronto (http://web.cs.toronto.edu) and the Toronto Rehabilitation Institute (http://www.uhn.ca/TorontoRehab),
•     the University of the West Indies (http://www.uwi.edu/index.asp),
•     AIAS Bologna Onlus (http://www.aiasbo.it/english.html).

The Facilitator will be responsible for the software engineering required to build the CloudCAST resource. This involves taking algorithms and data which have been developed for research and knitting them into a form that

•     is accessible to people who are not experts in speech technology,
•     has a uniform look-and-feel,
•     allows for amendments and additions,
•     encourages others to contribute
•     is available over the internet ('resides in the cloud').

The Facilitator may also become involved with pilot research studies using the resource, and will be responsible for organising and participating in an extensive series of visits between the 4 sites involved.

A good degree in Computer Science, Software Engineering, Mathematics or a closely-related subject. Is required for all applicants.  An appointment at Grade 7 will require a PhD. in speech technology or equivalent industrial experience. Applicants should have knowledge of speech technology and software engineering skills. The supporting documentation gives details. You can view the documentation by clicking on About the Job and About the University located near the top of your screen.

This is a full-time post, available now.

For supporting documentation and details of how to apply, visit

http://www.jobs.ac.uk/job/AIW424/research-facilitator-in-speech-technology-cloudcast-network/

Informal enquiries to Professor Phil Green, p.green@shef.ac.uk

Closing Date: 30th June 2014.

 

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Research professorship at KU Leuven ESAT/PSI – Audio and/or Speech Processing The division ESAT/PSI (Processing Speech & Images, http://www.esat.kuleuven.be/psi) performs 
fundamental and applied research in the broad field of audio-visual information processing. The 
research is multidisciplinary and integrates expertise from engineering, physics, mathematics, 
medicine, linguistics, machine learning and computational science. New methods are developed and 
validated in computer vision, medical imaging, speech and audio processing and other application 
fields. PSI is one of the leading labs in its areas of research. The division is part of the EE 
department (ESAT) of the University of Leuven, the largest and highest-ranked university in 
Belgium. Leuven lies about 25 km east of Brussels and 15 minutes from Brussels airport by train.

To strengthen and widen its research domain, the PSI division is looking for a research 
professor in the area of audio and/or speech processing. The focus is on the interpretation of 
large amounts of these data, possibly in combination with other sensorial data (eg. images). We 
live in an environment where sound is ubiquitous and the interpretation of speech and other 
sounds is crucial for safety, for communication, for understanding of our environment, ... In 
many applications the ability of a computer to achieve human-like performance in this respect is 
highly desired and worldwide a lot of research effort is spent to achieve this goal. We want to 
expand our own research lines by hiring a new professor to enlarge the existing group with new 
projects and researchers exploring new ideas and paradigms that advance the state-of-the-art in 
this area.

The candidate must be an internationally recognized researcher, with a strong publication 
record. At the start of the mandate he/she must have at least 3 years of experience in 
scientific research as a postdoc, with hands-on experience in supervising PhD students. 
Experience with successful project grant writing is a definite plus. He/she also needs to 
possess didactic qualities. The position is primarily research-oriented, but the applicants must 
be prepared and are also expected to undertake limited teaching assignments. Applicants should 
be prepared to learn Dutch.

Entering research professors are appointed with a rank depending on their qualifications. Young 
researchers with at least 3 years and less than 7 full years of postdoctoral experience at the 
time of the appointment are typically offered a Tenure Track position, without excluding a 
higher academic position. Advanced researchers with at least 7 years of postdoctoral experience 
at the time of appointment are typically hired as a full professor, without excluding a Tenure 
Track position.

Applications should include a CV (incl. a complete publication list) and an abstract (1-2 pages) 
of a research proposal for the coming five years. They should be submitted by e-mail as soon as 
possible but ultimately before August 31st, 2014 to

Katholieke Universiteit Leuven
Department of Electrical eEgineering - ESAT
Center for Processing Speech and Images - PSI
Kasteelpark Arenberg 10 bus 2441
3001 Heverlee, Belgium
E-Mail: patrick dot wambacq at esat dot kuleuven dot be

Applicants may be invited to give a seminar to the staff of the research division ESAT/PSI. 
Subsequently, promising candidates will be asked to participate to the university-wide selection 
procedure for research professorships. Each year the KU Leuven appoints a number of research 
professors. These positions are financed by a university fund called 'BOF' (Bijzonder 
Onderzoeksfonds) that is funded by the Flemish Government.

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Call for a two 2-year post-doctoral position

Laboratoire Parole et Langage (UMR 7309 Aix-Marseille Université / CNRS)

Aix-en-Provence, France

Principal investigator: Serge Pinto, Ph.D

Dysarthria in Parkinson’s disease: Lusophony vs. Francophony comparison (FraLusoPark)

Parkinson’s disease (PD) is classically characterized by a symptomatic triad that includes rest tremor, akinesia and hypertonia and although the motor expression of the symptoms involves mainly the limbs, the muscles implicated in speech production are also subject to specific dysfunctions. Motor speech disorders, so-called dysarthria, can thus be developed by PD patients. The main objective of our project is to evaluate the physiological parameters (acoustics), perceptual markers (intelligibility) and psychosocial impact of dysarthric speech in PD, in the context of language (French vs. Portuguese) modulations. PD patients will be enrolled in the study in Aix-en-Provence, France and Lisbon, Portugal. The proposed position refers to the data acquisition and analysis in the French site (Aix-en-Provence).

In order to achieve the goals of this project, 1 post-doctoral position is proposed to a young and dynamic researcher. The candidate, who should have experience in speech sciences research (acoustics, perception, prosody), will participate to the acquisition and analysis of speech data.

This project benefits from a bilateral ANR/FCT financial support (for the French side: project n° ANR-13-ISH2-0001-01).

Interested candidates should contact the principal investigator by sending:

-          a detailed CV

-          a letter of motivation

-          letters of recommendation (optional)

Duration of the position: 2 years (full-time)

Monthly salary: 2 000 € net

Application deadline: 2014, September 30^th

Starting date: 2014, November 1^st

For supplementary information and applications: serge.pinto@lpl-aix.fr

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*Postdoc position in Speech Synthesis* (full-time, 2 years
from October 2014, extendable) at Saarland University, Saarbrücken, Germany

Please link to
http://www.coli.uni-saarland.de/~steiner/job_advertisement.pdf

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Poste d'ingénieur recherche et développement, Traitement automatique de la langue, Avignon. Sept 2014.

Le Laboratoire d'Informatique d'Avignon (Université d'Avignon, lia.univ-avignon.fr)) et le Laboratoire d'Informatique Fondamentale de Lille (http://www.lifl.fr/) cherchent à pourvoir un poste d'ingénieur recherche et développement.

Dans la cadre du projet ANR MaRDi (Man-Robot Dialogue) il s'agit d'un **CDD de 12 mois** basé à Avignon (avec séjours ponctuels à Lille) axé sur le développement d'une plateforme de dialogue oral. L'architecture de la solution existante, basée sur des approches statistiques état de l'art, devra être complètement repensée afin d'améliorer sa modularité et aussi de permettre son exploitation sous forme de service web afin de développer les approches de collecte de données en ligne (crowdsourcing).

D'excellentes compétences en programmation et architecture logicielle sont attendues. Plus précisément les compétences recherchées incluent :
- Langage de programmation C++ ou Java ;
- Langages de script Python, Perl ;
- Développement Web : HTML/Javascript/CSS/XML, web services (REST...), serveurs d'application (Tomcat, Glassfish...) ;
- Traitement automatique de la langue : connaissances générales sur les systèmes d'interactions vocales (reconnaissance et interprétation de la parole, gestion du dialogue, génération de texte, synthèse de parole...).

Le salaire prévu est de 2400 euros brut / mois et peut varier selon le profil et l'expérience. Le poste est ouvert aux débutants (récents diplômés d'école d'ingénieur ou de Master, spécialités informatique ou 'linguistique - informatique' si couplée avec des connaissances significatives en informatique) mais aussi aux récents docteurs possédant de bonnes capacités en programmation.

Le profil possède une forte dominante développement, toutefois le travail attendu s’inscrit dans les activités de recherche de deux groupes de recherche très actifs et se prête à publications (post-doc possible). En fonction de la qualité de l'ingénieur/docteur recruté, les deux laboratoires bénéficient d'un fond constant de projets permettant d'envisager la prolongation du contrat à l'issue des 12 mois.

Les candidats peuvent envoyer un dossier (cv, motivation et éventuelles lettres de recommandation, en pdf) à fabrice.lefevre-_-à-_-univ-avignon.fr. La date de démarrage souhaitée est **septembre/octobre 2014**. L'offre reste valide jusqu'au recrutement d'un candidat.
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Department of Signal Processing and Acoustics, Aalto University (formerly known as the Helsinki University of Technology), is looking for outstanding candidates for two postdoc positions:

Postdoc position in Computational Modeling of Language Acquisition

The speech technology group (led by Prof. Unto Laine) at Aalto University works on computational modeling of language acquisition, perception and production. The overall goal is to understand how spoken language skills can be acquired by humans or machines through communicative interaction and without supervision. The research in our topic involves cross-disciplinary effort across fields such as machine learning, signal processing, speech processing, linguistics, and cognitive science. The research is funded by the Academy of Finland.

We are currently looking for a postdoc to join our research team to work on our research themes, including:

• pattern discovery from speech

• articulatory modeling and inversion

• modeling and methods for autonomous acquisition of lexical, phonetic and grammatical structure from speech input

• multimodal statistical learning (associative learning between multiple input domains such as speech, articulation and vision).

Postdoc: 2 years. Starting date: as soon as possible.

Send your application, CV and references directly by email to

D.Sc. (Tech.) Okko Räsänen, okko.rasanen at aalto.fi

Postdoc position in Speech Synthesis and Voice Source Analysis

The speech communication technology research group (led by Prof. Paavo Alku) at Aalto University works on interdisciplinary topics aiming at describing, explaining and reproducing communication by speech. The main topics of our research are: analysis and parameterization of speech production, statistical parametric speech synthesis, enhancement of speech quality and intelligibility in mobile phones, robust feature extraction in speech and speaker recognition, occupational voice care and brain functions in speech perception.

We are currently looking for a postdoc to join our research team to work on the team’s research themes, particularly in the following topics:

• statistical speech synthesis

• voice source analysis

• speech intelligibility improvement

Postdoc: 1-3 years. Starting date: January 2015

Send your application, CV and references directly by email to

Prof. Paavo Alku, paavo.alku at aalto.fi

All positions require a relevant doctoral degree in CS or EE, skills for doing excellent research in a group, and outstanding research experience in any of the research themes mentioned above. The candidate is expected to perform high-quality research and assist in supervising PhD students. Please send your application email with the subject line “Aalto post-doc recruitment, autumn 2014”.

In Helsinki you will join the innovative international computational data analysis and ICT community. Among European cities, Helsinki is special in being clean, safe, liberal, Scandinavian, and close to nature, in short, having a high standard of living. English is spoken everywhere. See, e.g., http://www.visitfinland.com/

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2 offres pour l'équipe NADIA de dialogue en langage naturel de Orange Labs à Lannion.

- CDI Ingénieur de recherche data scientist & analyse statistique (f/h) : http://orange.jobs/jobs/offer.do?joid=40611&lang=fr&wmode=light

- CDD Post doc Etude du dialogue vocal et tactile avec les objets connectés dans l'environnement domestique, depuis un 'wearable device' : http://orange.jobs/jobs/offer.do?joid=40954&lang=fr&wmode=light

Postes ouverts aux non francophones mais pas de description en anglais.

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Postdoctoral positions are available at the LIMSI-CNRS lab. The
positions are all one year, with possibilities of extension.  We are
seeking researchers in machine learning and natural language processing.

Topics of interest include, but are not limited to:
- Speech translation
- Bayesian models for natural language processing
- Multilingual topic models
- Word Sense Disambiguation
- Statistical Language Modeling

Candidates must possess a Ph.D. in machine learning or natural
language/speech processing. Please send your CV and/or questions to
Alexandre Allauzen (allauzen@limsi.fr) and François Yvon
(yvon@limsi.fr).

Duration: 12 months, starting Fall or Winter 2014, with a possibility
to extend for an additional 12 months.

Application deadline: Open until filled

The successful candidates will join a dynamic research team working on
various aspects of Statistical Machine Translation and Speech
Processing. For information regarding our activities, see
http://www.limsi.fr/Scientifique/tlp/mt/

About the LIMSI-CNRS:
The LIMSI-CNRS lab is situated at Orsay, a green area 25 km south of
Paris. A suburban train connects Orsay to Paris city center. Detailed
information about the LIMSI lab can be found at http://www.limsi.fr

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Annonce de poste d’ingénieur de recherche en CDI
à Orange Labs à Rennes :

http://orange.jobs/jobs/offer.do?joid=40644&lang=fr

Il s’agit d’un poste de Data Scientist en analyse de données non
structurées : textes ou contenus multimédia de diverses natures (livre,
presse, tweets, photos, podcasts audio et vidéo...).

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*** extension de date limite au 5 octobre 2014 ***

Le LabEx EFL (Empirical Foundations of Linguistics) offre un contrat doctoral de 3 ans.

REDUCTION PHONETIQUE EN FRANCAIS

Le sujet proposé concerne la réduction phonétique en parole continue, la variabilité intra- et interlocuteur ainsi que les liens entre réduction phonétique, prosodie et intelligibilité de la parole.  

 Le/la doctorant(e) effectuera ses recherches au LPP (Laboratoire de Phonétique et de Phonologie), une unité de recherche mixte CNRS/Université Paris3 Sorbonne Paris Cité. Voir les travaux sur ce thème du Laboratoire de Phonétique et de Phonologie http://lpp.in2p3.fr

Le/la candidat(e) sélectionné(e) sera encadré(e) par Martine Adda-Decker et Cécile Fougeron, Directeurs de recherche au CNRS. Il/elle dépendra de l'Ecole Doctorale ED268 de l'Université Sorbonne nouvelle

 Le/la doctorant(e) bénéficiera des ressources du laboratoire, de l'Ecole Doctorale ED268  et de l'environnement de recherche interdisciplinaire du Laboratoire d'Excellence EFL. Il/elle pourra assister à des séminaires hebdomadaires de recherche phonétique et phonologie au LPP et d'autres équipes de recherche, suivre des conférences données par des professeurs invités se stature internationale, des formations, des colloques et des écoles d'été.

• Conditions

- avoir une bonne maitrise de la langue française (parlée et écrite).

- avoir mené avec succès un premier projet de recherche personnel

- aucune condition de nationalité n'est exigée.

Le/la candidate devra avoir des connaissances et compétences en traitement de données acoustiques et/ ou articulatoires (ultrason, video, EGG…)  . Des connaissances en informatique et en analyses statistiques seraient un plus. 

• Pièces à joindre pour la candidature

1. un CV
2. une lettre de motivation
3. le mémoire de master 2
4. une lettre de recommandation 
5. le nom de deux référents (avec leurs adressse courriel)

Date limite de candidature: (20 septembre 2014)  repoussé au **5 OCTOBRE 2014**

• Présélection sur dossier et

Auditions 

des candidats présélectionnés

Les candidats présélectionnés seront auditionnés mi-octobre sur place ou par visio-conférence.  

Contact: 

Martine Adda-Decker, directeur de recherche CNRS

madda@univ-paris3.fr

Adresse pour la candidature: 

madda@univ-paris3.fr

ILPGA

19 rue des Bernardins

75005 Paris

Université Paris 3

Labex EFL: http://www.labex-efl.org/

Référence: http://www.labex-efl.org/?q=fr/node/261

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