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ISCApad #234 |
Monday, December 11, 2017 by Chris Wellekens |
6-1 | (2017-07-25) Post-doc à Paris et Saclay , France eurosPost-doc à Paris et Saclay : Apprentissage semi-supervisé et apprentissage profond pour une mesure de l'expérience émotionnelle du client dans les interactions orales [1] Telecom ParisTech, 46 rue Barrault, 75013 Paris [2] EDF Lab Paris Saclay, 7 boulevard Gaspard Monge 91120 Palaiseau Durée : 1 an Début : Novembre 2017 Salaire : en fonction de l'expérience et à partir de 2300 euros/mois
*Description du sujet de post-doctorat*
Avec l'engouement récent du Big Data pour le Feel data, EDF souhaite développer des méthodes d'analyse automatique de l'expérience émotionnelle du client dans ses interactions orales. Les interactions orales considérées sont les données des centres d'appels et données d'interaction avec des assistants virtuels vocaux (de type Alexa, Siri). L'objectif du post-doctorat est de mettre en place desméthodes d'apprentissage semi-supervisées, combinées à de l'apprentissage profond (deep learning) pour l'analyse automatique de l'expérience émotionnelle du client. Les méthodes reposeront sur des caractéristiques (features) linguistiques et acoustiques extraites des interactions orales.
Le chercheur post-doctorant prendra part à une collaboration entre EDF Lab et Telecom-ParisTech et son travail de recherche reposera sur les étapes suivantes : - la mise en place de schéma d?annotation de l?expérience émotionnelle de l?utilisateur sur les données collectées à EDF Lab (données des centres d'appels et données d'interaction avec des assistants virtuels vocaux (de type Alexa, Siri) - l?extraction d?indices acoustiques caractéristiques des réalisations non verbales de l?expérience émotionnelle de l?utilisateur - l?extraction d?indices linguistiques caractéristiques des réalisations verbales de l?expérience émotionnelle de l?utilisateur - la mise en place de stratégies d?apprentissage permettant de mixer des approches non supervisées et des approches d?apprentissage profond Le post-doc aura lieu au sein des deux centres de recherche : EDFLab [2] et Telecom-Paristech (département IDS image and signal processing department of Telecom ParisTech [1], équipe S2a, thème Social computing). * Profil du candidat*
Le candidat devra posséder a minima les compétences suivantes :
? un diplôme de doctorat ? des recherches et publications dans au moins l?une des thématiques suivantes : machine learning, traitement de la parole, affective computing. Traitement automatique des langues ? d?excellentes compétences en programmation (avec une préférence pour le python) ? excellente maîtrise du français et bonne maîtrise de l?anglais
Les compétences ci-dessous, seront également un atout : ? apprentissage semi-supervisé ? Deep learning ? analyse acoustique des émotions
-- Informations pratiques Lieu du post-doc: Paris (Telecom-ParisTech) et Palaiseau (EDF Lab Paris-Saclay) Encadrement : Delphine Lagarde, Aurélie Dano (EDF Lab) et Chloé Clavel (Telecom-ParisTech)
-- Comment candidater : Les candidatures sont à envoyer à Chloé Clavel (chloe.clavel@telecom-paristech.fr)
Elles doivent être compilées ** en un seul fichier pdf ** et inclure : ? Un CV complet et détaillé incluant la liste des publications ? Une lettre de motivation spécifique au sujet du post-doc ? Les noms et les adresses de 2 référents.
[1]http://www.tsi.telecom-paristech.fr
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6-2 | (2017-07-26) DSP engineer positions, Proactivaudio, Vienna, Austria Several positions related to DSP engineering for speech and audio applications are open at Proactivsaudio in Vienna,Austria. More details can be found here http://www.proactivaudio.pro/?page_id=2136.
1.Software Engineer (f/m) – Digital Audio Location Vienna, Austria. Description: We are looking for a full-time software engineer with experience and passion for software development of audio systems. The successful candidate has the unique opportunity to grow along with the Start-up. The main roles are to port and optimize advanced audio processing algorithms in a variety of platforms and architectures (Windows, macOS, iOS, Android), as well as the development of GUI-based host applications interfacing with heterogeneous audio devices.
Qualifications:
– 3 years of experience in industry or as academic post-graduate.
– Excellent software design/programming skills in C/C++ and Objective-C.
– Solid knowledge of multi-threaded programming and debugging.
– Be able to multi-task and learn new technologies quickly.
– Thorough understanding of real-time digital audio.
Desired Skills:
– Working experience with Audio Units, VST, and Core Audio APIs.
– Experience with WebRTC as committer.
Education Bachelor or (preferrably) Master degree in Software Engineering, Electrical/Computer Engineering, or equivalent.
Conditions
Full-time employment in accordance to the Austrian regulations. A gross annual salary of EUR 39.550 can be expected. Overpayment is possible depending on qualifications and work experience. Workplace has very good connections with public transport.
How to Apply
Send your application by e-mail to contact@proactivaudio.pro with a single attachment (CV and proof documents) in PDF format.
About
proactivaudio is a young Austrian startup with an innovative patented technology for acoustic echo reduction (AER) and noise reduction. Our AER solution is fully operative under any hostile acoustic scenario, such as under permanent double talk, background noise and changes in the acoustic room. Altogether.
2. Software Engineer (f/m) – Embedded DSP
Location Vienna, Austria. Description:
We are looking for a full-time software engineer with experience and passion for software development of audio systems. The successful candidate has the unique opportunity to grow along with the Start-up. The main roles are to port and optimize advanced audio processing algorithms in a variety of embedded systems, from Texas Instruments, Analog Devices and ARM Cortex.
Qualifications:
– 3 years of experience in industry or as academic post-graduate.
– Excellent software design/programming skills in C/C++ and SIMD instructions. – Solid knowledge of real-time embedded debugging.
– Be able to multi-task and learn new technologies quickly.
– Good knowledge of digital signal processing.
Desired Skills:
– Working experience with Code Composer Studio.
– Working experience with VisualDSP++ and CrossCore Embedded Studio.
Education Bachelor or (preferrably) Master degree in Software Engineering, Electrical Engineering, or equivalent.
Conditions:
Full-time employment in accordance to the Austrian regulations. A gross annual salary of EUR 39.550 can be expected. Overpayment is possible depending on qualifications and work experience. Workplace has very good connections with public transport.
How to Apply
Send your application by e-mail to contact@proactivaudio.pro with a single attachment (CV and proof documents) in PDF format.
About
proactivaudio is a young Austrian startup with an innovative patented technology for acoustic echo reduction (AER) and noise reduction. Our AER solution is fully operative under any hostile acoustic scenario, such as under permanent double talk, background noise and changes in the acoustic room. Altogether.
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6-3 | (2017-07-28) R&D Engineer/Scientist at VOCAPIA Research, Orsay, France Vocapia Research is hiring an R&D Engineer/Scientist, to build and improve multilingual language processing systems relying on machine learning techniques. We are seeking candidates with substantial programming experience who are able to carry out careful experimental work, paying attention to details. We are looking for highly-motivated, goal-driven individuals who also desire to be team players. Main qualifications
Preference will be given to candidates who have experience in speech and language processing. Location: Orsay, France (about 25km out of Paris ) To apply please submit your CV by email (including the job reference and your contact information) to recruit(at)vocapia.com or directly fill in the online application form (http://www.vocapia.com/applyforjob.html?VR1706IRD) PDF or PS file, please.
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6-4 | (2017-07-31) Postdoctoral researcher in Cryptography, Intelligent Voice Ltd, London City, UK Intelligent Voice Ltd, London City, UK In the framework of a H2020 program of the European Commission, Intelligent Voice Ltd is receiving financial support to hire a postdoctoral researcher for one year on the following topic : The cloud offers an ideal opportunity for storing large volumes of data. However, the storage of sensitive data such as speech in plain text format on the cloud is not permitted in many industry sectors such as finance, health care etc. Hence speech data should be encrypted before storage on the cloud, and because it contains biometric identifiers it must remain encrypted. The challenge then is to search over large amounts of encrypted speech and return encrypted search results that can be decrypted by the user only. Intelligent Voice are providers of the world's fastest speech to text engine, and we are looking for a talented researcher in semantic security and searchable encryption to join our research team. This post builds on existing research within Intelligent Voice on Searchable and Homomorphic cryptographic protocols for speech processing. Applicants should have already completed, or be close to completing, a PhD in computer science, mathematics, or a related discipline. Applicants should have an excellent research track record demonstrated by publications at major cryptography/security venues, and should have significant experience in the design and deployment of cryptographic protocols. To apply please send your CV (with publication list), a 1-page cover letter, and the names of at least two people who can provide reference letters (e-mail). Contact: Gérard Chollet, Head of Research, Intelligent Voice Ltd St Clare House, 30-33 Minories, London EC3N 1BP gerard.chollet(at)intelligentvoice.com Phone: +44 20 3627 2670 More Information: http://www.intelligentvoice.com/https://www.slideshare.net/cholletge/ppsp-icassp17v10-72961572 Closing Date for Applications: 2017-08-31
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6-5 | (2017-08-03) AI-NLP Scientist at Sparted, France
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6-6 | (2017-08-10) 3 job offers at Laboratoire de Phonétique et Phonologie, Paris, France (1phD and 2 postdocs) Three job offers at Laboratoire de Phonétique et Phonologie, Paris, France (1phD and 2 postdocs)
In the context of the MoSpeeDi project, funded by the FNS and run in collaboration with the University of Geneva, the HUG and IDIAP, the Laboratoire de Phonétique et Phonologie* (LPP ? CNRS/Sorbonne Nouvelle) in Paris is offering 3 positions (1 phD and 2 postdocs) starting November 2017 or later.
The general goal of the project is to better understand the processes and representations at play during speech production, focusing on the latest stages of the process where an encoded linguistic message is transformed into articulated speech. At the interface between linguistic and motor processes, these stages are also associated with different breakdowns considered as Speech Motor Disorders (dysarthria and apraxia of speech).
Articulatory, acoustic and speech behaviour data will be experimentally collected and analysed for both healthy speakers and speakers with speech motor disorders in order to (a) improve the characterization of phonetic speech planning and motor speech programming, (b) to identify phonetic and speech behavior markers of these processes, and (c) to better isolate and classify speech alterations in speech motor disorders.
Within this Swiss-French collaborative project, the LPP is recruiting 1 doctoral student and 2 post-docs to join the team under the supervision of Cécile Fougeron (DR CNRS) and in close collaboration with Simone Falk (MC Sorbonne Nouvelle), and Leonardo Lancia (CR CNRS). See job description and application procedure below.
Contact: cecile.fougeron@univ-paris3.fr
* The Laboratoire de Phonétique et Phonologie (LPP) is a joint CNRS and Université Sorbonne Nouvelle structure. It is located in the center of Paris (19 rue des Bernardins, 7500 Paris). More information on http://lpp.in2p3.fr/Presentation-du-LPP
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6-7 | (2017-08-16) 2 Post-Doc/Research positions in Audio Music Content Analysis at IRCAM, Paris, France 2 Post-Doc/Research positions in Audio Music Content Analysis The hired researchers will collaborate with the development team and participate in the project activities (evaluation of technologies, meetings, specifications, reports). Strong interactions with teams from the other participating universities are expected.
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6-8 | (2017-08-29) Several post-doctoral positions at IDIAP, Martigny, Switzerland Amongst several openings at Idiap in general, we have *three* post-doctoral positions in
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6-9 | (2017-08-31)Trois offres d'emploi au Laboratoire de Phonétique de l'Université de Mons, Belgique '***************************************************************************
Trois offres d'emploi sont disponibles au Laboratoire de Phonétique de
l'Université de Mons, Belgique.
(1) Assistant(e) sous mandat
(2) Orthophoniste
(3) Chercheur (doctoral et post-doctoral)
***************************************************************************
(1) Offre d?emploi : « Assistant(e) sous mandat »
Le service de métrologie et sciences du langage (laboratoire de
phonétique) de l'Université de Mons recherche des candidats à l'engagement
dans un poste d'assistant sous mandat à partir du début de l'année
académique 2017-2018.
PROFIL DU CANDIDAT (M/F):
Les candidats (M/F) seront détenteurs d'un diplôme de niveau Master
(obtenu à l'issue d'études comptant pour un minimum de 300 crédits au sens
ECTS) ou jugé équivalent. Ils seront en mesure de se prévaloir:
· de compétences en rapport avec les thématiques d'enseignement du
Service (Voir :
age/Pages/default.aspx)
· d'une formation initiale susceptible de leur permettre l?accès aux
études doctorales organisées par la Faculté de psychologie et des sciences
de l?éducation (accès direct aux diplômés du domaine Sciences
psychologiques et de l'éducation, accès sur dossier aux autres diplômés) ;
le sujet précis de la thèse de doctorat (centrée sur les sciences de la
parole) sera arrêté de commun accord avec le Service.
Les candidats se caractériseront, complémentairement, par:
· de bonnes aptitudes au travail en équipe, de la créativité, de
l?autonomie, une curiosité scientifique aigue,
· une bonne maîtrise de l?outil informatique (tableurs, gestion de bases
de données, traitements de texte et autres éléments de suites
bureautiques),
· une maîtrise suffisante de la langue française à titre de langue de
travail au quotidien,
· une maîtrise de l?anglais permettant les échanges scientifiques à l?oral
en contexte international et la production d?écrits scientifiques.
Des connaissances dans le domaine du traitement des phénomènes
acoustiques, une formation préalable en phonétique, la maîtrise d?outils
d?analyse de la parole (tels Praat, Childes,?), une sensibilité à la
problématique des langues étrangères, la maîtrise d?outils statistiques,
des compétences en programmation, la possession d?un permis B et d?un
moyen de transport personnel constituent des atouts complémentaires.
OPERATIONS DE RECRUTEMENT:
Les personnes intéressées sont priées d?adresser, pour le 11 septembre
2017 au plus tard, un dossier comportant :
· une lettre de motivation,
· un curriculum vitae (comportant adresse mail et numéro de téléphone
susceptibles d?être utilisés en vue d?une éventuelle prise de contact),
· les relevés de notes de chaque année d?études supérieures,
· tout document jugé utile.
au format pdf (exclusivement)
à l?adresse : bernard.harmegnies@umons.ac.be
Après une première phase d?évaluation des candidatures sur dossier, un
sous-ensemble des candidats sera retenu en vue d?une seconde phase
procédant par entretien de sélection :
· Les candidats retenus pour la seconde phase en seront prévenus par mail
et/ou téléphone le 12
septembre 2017.
· Les entretiens se dérouleront le 15 septembre 2017.
Prise de fonction : possible à partir d?octobre 2017.
DESCRIPTION DE FONCTION:
Type de contrat : Mandat de 2 ans renouvelable 2 fois avec possibilité
éventuelle, sur justification expresse, de mandats exceptionnels
ultérieurs (maximum 4) d?une durée d?un an chacun.
Participation aux activités du service dans ses missions :
· d?enseignement
· de recherche
· de service
Préparation d?une thèse de doctorat
***************************************************************************
(2) Offre d?emploi : « Orthophoniste »
Poste de spécialiste de l?étude clinique et du traitement des troubles du
langage
Le service de métrologie et sciences du langage (laboratoire de
phonétique) de l?Université de Mons recherche, en vue de l?engagement dans
un poste à mi-temps intitulé « logopède », un spécialiste (M/F) de l?étude
clinique et du traitement des troubles du langage.
PROFIL DU POSTE:
La personne recrutée prend part aux travaux en clinique du langage que
développe
le Laboratoire. Ceux-ci peuvent être de nature :
· pédagogique (travaux pratiques au sein de cours centrés sur le langage :
sesspécificités, ses difficultés, ses troubles, les actions évaluatives et
curatives qui le concernent)
· scientifique (participation aux recherches du service)
· clinique (impliquant l?action directe au profit de patients dans une
relation à caractère évaluatif et/ou curatif).
La possession d?un permis B et d?un moyen de transport personnel
constituent des atouts complémentaires.
Compétences :
· Aptitude au travail en équipe, créativité, autonomie, curiosité
scientifique.
· Bonne rmaîtrise de l?outil informatique (tableurs, gestion de bases de
données,
traitements de texte et autres éléments de suites bureautiques).
· Maîtrise native de la langue française à l?écrit et à l?oral.
· Maîtrise au moins passive de l?anglais scientifique au moins à l?écrit.
Diplômes requis :
Secteur de formation initiale :
Sciences du langage (orthophonie, logopédie, psychologie du langage,?) à
titre de formation de base ou à tout le moins de formation complémentaire
Niveau à l?entrée :
· soit niveau « bachelier » professionnalisant (bac+3, 180 crédits au sens
ECTS),
· soit niveau « master » (bac+5, 300 crédits au sens ECTS).
Expérience professionnelle requise :
Une expérience clinique, des connaissances en phonétique, la maîtrise
d?outil d?analyse de la parole (tels Praat, Childes,?), une sensibilité à
la problématique des langues étrangères.
Type de contrat : CDD de 12 mois avec possibilité de renouvellement en CDI
Régime horaire : Mi-temps (19h/semaine)
Grade de recrutement : 1er agent spécialisé (si bachelier) / Attaché (si
master)
Salaire brut minimum proposé : 1er agent spécialisé : 1119,36 ? / Attaché
: 1487,44 ?
Date de prise de fonction : Possible à partir d?octobre 2017
DEPOT DES CANDIDATURES:
Les personnes intéressées sont priées d?adresser, pour le 11 septembre 2017
au plus tard, un dossier comportant :
· une lettre de motivation,
· un curriculum vitae (comportant adresse mail et numéro de téléphone
susceptibles d?être utilisés en vue d?une éventuelle prise de contact),
· les relevés de notes de chaque année d?études supérieures,
· tout document jugé utile. au format pdf (EXCLUSIVEMENT) à l?adresse :
Procédure de recrutement :
Après une première phase d?évaluation des candidatures sur dossier, un
sous-ensemble des candidats sera retenu en vue d?une seconde phase
procédant par entretien de sélection :
· Les candidats retenus pour la seconde phase en
seront prévenus par mail et/ou téléphone le 12 septembre 2017.
· Les entretiens se dérouleront le 15 septembre
2017.
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(3) Chercheurs
Le service de métrologie et sciences du langage (laboratoire de phonétique
de l?Université de Mons), recherche un spécialiste (M/F) de l?étude de la
parole humaine désireux d?apporter son concours au développement du projet
BIOVOC, dans sa partie centrée sur les effets sur le langage et la parole
de la pression situationnelle (charge cognitive, fatigue, émotions, etc.)
exercée sur le sujet humain par les tâches de conduite de processus
complexes (conduite de véhicules terrestres, pilotage d?aéronefs, gestion
de flux aéronautiques, etc.).
Deux profils de poste sont disponibles dans ce contexte.
**********PROFIL 1 : Chercheur doctorant***********
PROFIL DU CANDIDAT (M/F) :
Secteur de formation initiale : Sciences du langage (linguistique,
logopédie, psychologie du langage,?) à titre de formation de base ou à
tout le moins de formation complémentaire approfondie.
Niveau à l?entrée : Au moins niveau « master » (« bac+5 », 300 crédits au
sens ECTS).
Compétences transversales:
· Aptitude au travail en équipe, créativité, autonomie, curiosité
scientifique.
· Bonne maîtrise de l?outil informatique (tableurs, gestion de bases
de données, traitements de texte).
· maîtrise suffisante de la langue française à titre de langue de
travail au quotidien,
· maîtrise de l?anglais permettant les échanges scientifiques à
l?oral en contexte international et la production d?écrits scientifiques.
Une sensibilité à la problématique des langues étrangères, la maîtrise
d?autres langues, des connaissances en phonétique (en particulier
l?analyse objective de la parole), des connaissances et des compétences en
mathématiques appliquées (en particulier en statistiques), constituent des
atouts complémentaires.
Track record:
La personne recrutée peut se prévaloir de mentions égales ou supérieures à
la « grande distinction » en bachelier et en master.
Profil fonctionnel:
La personne recrutée se voit octroyer une bourse de doctorat d?un an.
Elle s?engage à tenter d?obtenir, durant ce terme, un financement plus
étendu en concourant pour des postes tels que chercheur FRIA, FRESH et/ou
aspirant FNRS.
Au terme de la première année, en cas d?absence du financement alternatif
ainsi recherché, la personne est évaluée par le comité d?accompagnement.
Sur cette base, elle peut se voir octroyer ?ou non- un terme additionnel
d?un an. Durant ce nouveau terme, elle s?engage à poursuivre sa recherche
de financements extérieurs de son doctorat.
En aucun cas, la durée cumulée des bourses de recherche doctorale ne peut
excéder 4 années.
Prise de fonctions : au plus tôt.
*******PROFIL 2 : Chercheur en séjour post-doctoral******
PROFIL DU CANDIDAT (M/F) :
Secteur de formation initiale : Sciences du langage (linguistique,
logopédie, psychologie du langage,?) à titre de formation de base ou à
tout le moins de formation complémentaire approfondie.
Niveau à l?entrée : Doctorat
Compétences transversales:
· Aptitude au travail en équipe, créativité, autonomie, curiosité
scientifique.
· Bonne maîtrise de l?outil informatique (tableurs, gestion de bases
de données, traitements de texte).
· Maîtrise suffisante de la langue française à titre de langue de
travail au quotidien.
· Maîtrise de l?anglais permettant les échanges scientifiques à
l?oral en contexte international et la production d?écrits scientifiques.
Une sensibilité à la problématique des langues étrangères, la maîtrise
d?autres langues, des
connaissances en phonétique (en particulier l?analyse objective de la
parole), des connaissances et des compétences en mathématiques appliquées
(en particulier en statistiques), constituent des atouts complémentaires.
Track record:
La personne recrutée peut se prévaloir de hautes mentions en bachelier et
en master et, le cas échéant, d?une mention ou d?une évaluation chiffrée
élevées pour le doctorat. Son rapport de thèse atteste ses qualités
scientifiques de haut niveau. Elle a à son actif, un nombre jugé
significatif de publications scientifiques.
Profil fonctionnel:
La personne retenue est engagée pour une durée maximale de post-doc de 18
mois.
Durant son séjour post-doc, le chercheur (M/F) travaille à la co-rédaction
d?articles scientifiques susceptibles d?être publiés dans des revues du
domaine à haut facteur d?impact.
Les articles ainsi produits sont signés par le chercheur en premier
auteur, le chef de service en dernier auteur, et les autres publiants en
position intermédiaire, dans un ordre consensuellement déterminé.
Un minimum de 4 publications est attendu pour un séjour correspondant à la
durée maximale.
Un premier contrat à durée déterminée de six mois est établi. Moyennant
évaluation satisfaisante par le Service, ce contrat peut être prolongé.
Durant son séjour post-doctoral, le chercheur peut, moyennant accord du
service, entamer des démarches visant à son maintien au sein du service
après la fin de son séjour post-doctoral ; il bénéficie alors du soutien
du service dans ses démarches auprès des bailleurs de fonds scientifiques
(par exemple, au FNRS : chercheur post-doc, chargé de recherche, chercheur
qualifié, etc.).
Prise de fonctions : au plus tôt.
OPERATIONS DE RECRUTEMENT
Les personnes intéressées sont priées d?adresser, pour le 11 septembre
2017 au plus tard, un dossier comportant :
· une lettre de motivation,
· un curriculum vitae (comportant adresse mail et numéro de téléphone
susceptibles d?être utilisés en vue d?une éventuelle prise de contact),
· le rapport de soutenance de thèse,
· les publications jugées comme les plus significatives
· les relevés de notes de chaque année d?études supérieures,
· tout document jugé utile au format pdf (exclusivement) à l?adresse :
Après une première phase d?évaluation des candidatures sur dossier, un
sous-ensemble des candidats sera retenu en vue d?une seconde phase
procédant par entretien de sélection :
· les candidats retenus pour la seconde phase en seront prévenus par
mail et/ou
téléphone le 12 septembre 2017.
· les entretiens se dérouleront le 15 septembre 2017.
PROJET SCIENTIFIQUE
Des concepts tels que fatigue ou stress sont fréquemment évoqués tant en
sciences de la vie qu?en sciences humaines. Ils se caractérisent non
seulement par le fait que leur portée s?étend aussi bien à la biochimie
qu?au psychisme humains, mais surtout par l?idée qu?une action sur
l?esprit peut ici avoir des répercussions sur le corps et vice-versa. Ces
notions demeurent pourtant variablement définies et diversement
objectivées, comme l?est aussi, dans ce contexte, l?interaction entre
physiologie et psychisme.
Le projet BIOVOC vise à élucider ces relations complexes en étudiant
l'évolution conjointe, dans une approche intra-sujets, de trois types de
variables: (i) des variables situationnelles (tant à variation invoquée
qu?à variation provoquée); (ii) des marqueurs biologiques de l'état du
sujet humain (approche métabonomique et bio-marqueurs spécifiques
enregistrés au sein de divers biofluides); (iii) les mesures révélatrices
du traitement du langage par le sujet (gestion de la parole en émission et
en réception).
Les contextes dans lesquels sont recueillies les observations sont ceux du
contrôle par le sujet humain de processus complexes, spécialement en
aéronautique, domaine hautement générateur de « situations-problèmes »
potentiellement suscitatrices de phénomènes.
Les recherches à mener dans le cadre du poste offert se centrent plus
particulièrement sur les variables situationnelles et cible spécifiquement
celles qui sont liées aux langues utilisées par le sujet. On sait
aujourd?hui que la réalité physique des sons de parole est notamment
influencée par divers facteurs qui s?y rapportent. Ceux-ci peuvent être
liés à l?inscription communautaire du sujet (on peut par exemple citer les
variabilités diatopique, diastratique, ou diachronique), voire aux actions
exogènes visant délibérément à modifier les caractéristiques phoniques des
sons de parole, par exemple dans les contextes de
l?enseignement/apprentissage (et/ou de l?utilisation) de langues
non-maternelles. D?autres déterminants, de nature endogène au sujet,
peuvent également se manifester, qu?ils trouvent leur origine dans la
sphère cognitive (maîtrise des langues, expertise multilingue, etc.), soit
dans la sphère affective (posture personnelle par rapport aux langues
utilisées).
Ces travaux qui, à des titres divers, démontrent l?action de ces facteurs
endogènes sur les productions vocales, ouvrent la voie à un positionnement
moins descriptif mais plus centré sur la valeur indicielle des
observations effectuées: puisque ces facteurs ont un effet sur le signal
vocal, la détection de leurs marques dans le signal ouvre la voie d?une
caractérisation, par la seule analyse des productions phoniques, de l?état
du locuteur. Le secteur des transports, et en particulier celui de
l?aéronautique, s?est montré graduellement plus intéressé par ces
perspectives lors des dernières décennies ; à un moment où nombre
d?incidents ou d?accidents y sont aujourd?hui imputables au facteur humain
plus qu?à des défauts techniques, le développement de recherches
susceptibles de contribuer à l?élaboration de systèmes d?alerte propres à
détecter des altérations de la fonctionnalité du pilote et ce, sur la base
de variations du seul signal vocal, fait figure de défi stratégique. Si
plusieurs recherches ont certes démontré l?intérêt de ces perspectives,
force est cependant de constater que les résultats en sont extrêmement
diversifiés, voire parfois contradictoires. Ceci
s?explique probablement d?une part par l?insuffisance du volume de données
global recueilli et d?autre part par l?importante diversité méthodologique
qui caractérise le champ. De ce point de vue, trois dimensions
apparaissent nécessiter une attention particulière. D?une part, ces
recherches, sont d?ordinaire restreintes à des productions vocales
anglophones, laissent dans l?ombre les autres langues de communication
aéronautique et, ipso facto, négligent les interactions possibles entre le
facteur langue et les divers facteurs étudiés ; peu, par ailleurs,
prennent en considération le caractère fréquemment multilingue des
communications aéronautiques et le fait que, souvent, les agents sont
amenés à s?exprimer dans une langue non maternelle ; aucune, par ailleurs,
n?interroge le problème de la perte différentielle de compétence phonique
en L2 et en L1 sous l?effet des conditions adverses de communication.
Les opérations de recherce à mener dans le cadre du poste offert se
centreront en conséquence tant sur les effets exercés par les variables
situationnelles liées aux situations de contrôle de processus complexes
sur la performance multilingue que sur les effets de divers types de
multilinguismes sur l?efficacité du contrôle de processus complexes gérés
en contextes multilingues.
***************************************************************************
Dr. Véronique Delvaux
Chercheur qualifié FNRS
Chargée de cours UMONS
Service de Métrologie et Sciences du Langage
Local ?1.7, Place du Parc, 18, 7000 Mons
+3265373140
age/Pages/VeroniqueDelvaux.aspx
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6-10 | (2017-09-01) TheVoice project - PhD Offers at IRCAM, Paris, FranceTheVoice project - PhD OffersTheVoice project (2017-2021) funded by the French Research National Agency (ANR) proposes two PhD thesis. TheVoice project aims to create voices for audiovisual production in the field of the creative, cultural, and entertainment industry. The scientific objective of the project is to study the voices of professional actors, naturally expressive, in order to create innovative voice design solutions. The consortium, composed of recognized laboratories and industrialists (Ircam, LIA, Dubbing Brothers), aims to consolidate a position of excellence for “Made-in-France” research and digital technologies, and to promote the French culture all over the the world. Deep learning for voice recommendationThe objective of the thesis is to create a voice recommendation system based on deep neural networks, by exploiting the entire “vocal palette” of professional actors and integrating information related to acoustics, perception (what the listener perceives, without context), and reception (what the spectator perceives “in situation” in a movie depending on his social and cultural expectations).
Contacts: jean-francois.bonastre@univ-avignon.fr, Nicolas.Obin@ircam.fr Expressive voice identity conversion
The objective of the thesis is to create a voice identity conversion system able to reproduce the voice of professional actors from naturally expressive and real acted conditions, by exploiting the audio tracks of movies, series, etc. The thesis will be based on the long-term experience in voice analysis and transformation and the existing voice conversion system developed at Ircam, currently used for professional productions. Contact: Nicolas.Obin@ircam.fr Candidates must have a master degree in computer science (or equivalent) with skills in audio signal processing, machine learning, and informatics (python, C++). A preliminary experience in speech processing would be greatly appreciated. Applications (CV + motivation letters) must be sent before: 15/09/2017
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6-11 | (2017-09-09)Positions at Reykjavik University's School of Science and Engineering, Iceland Applications are invited for a research position in text to speech systems at the Language and Voice Laboratory (lvl.ru.is) at Reykjavik University's School of Science and Engineering. The position is sponsored by the Icelandic Language Technology fund grant 'Environment for building text-to-speech synthesis for Icelandic.' The main aim of the work will be to set up and advance research on speech synthesis back-end architectures for parametric speech synthesis. The successful candidate will work closely with the other members of the lab who focus on the language specific problems such as text normalization, phonemic analysis and phrasing. Even though the main objective of the work will be on Icelandic, working with other languages will be welcome. The successful candidate will contribute to the academic output of the lab as well as the publication of an open TTS environment for Icelandic.
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6-12 | (2017-09-09) PhD position in Computational Linguistics for Ambient Intelligence, University Grenoble Alpes, France Keywords: Natural language understanding, decision support system, smart
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6-13 | (2017-09-09) new PostDoc positions for our current international project Dig that Lick: Analyzing large-scale data for melodic patterns in jazz performances ( dig-that-lick.eecs.qmul.ac.uk ). IRCAM ( www.ircam.fr ) and L2S at University Paris Saclay ( www.l2s.centralesupelec.fr ) are jointly offering two new PostDoc positions for our current international project Dig that Lick: Analyzing large-scale data for melodic patterns in jazz performances ( dig-that-lick.eecs.qmul.ac.uk ). The project gathers six different universities across four countries (USA, UK, Germany, France).
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6-14 | (2017-09-06) Research positions at Language and Voice Laboratory, Reykjavik, Iceland Applications are invited for a research position in text to speech systems at the Language and Voice Laboratory (lvl.ru.is) at Reykjavik University's School of Science and Engineering. The position is sponsored by the Icelandic Language Technology fund grant 'Environment for building text-to-speech synthesis for Icelandic.' The main aim of the work will be to set up and advance research on speech synthesis back-end architectures for parametric speech synthesis. The successful candidate will work closely with the other members of the lab who focus on the language specific problems such as text normalization, phonemic analysis and phrasing. Even though the main objective of the work will be on Icelandic, working with other languages will be welcome. The successful candidate will contribute to the academic output of the lab as well as the publication of an open TTS environment for Icelandic.
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6-15 | (2017-09-08) 2 Post-Doc/Research positions in Audio Music Content Analysis at IRCAM Paris France 2 Post-Doc/Research positions in Audio Music Content Analysis
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6-16 | (2017-09-11) Research Scientist - Speech at Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA, USA
in Cambridge, MA, USA Responsibilities
Qualifications
Apply online at: https://merl.workable.com/jobs/516915/candidates/new
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6-17 | (2017-09-14) Post-doctoral position in NLP at Loria, Nancy, France
A very solid background in statistical machine learning. Strong publications. Solid programming skills to conduct experiments. Excellent level in English. Applicants should send to smaili@loria.fr: A CV A cover letter outlining the motivation Three most representative papers
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6-18 | (2017-09-28) Senior research engineer at Spitch AG, Zurich, Switzerland The company: Spitch AG (www.spitch.ch) is an international company focused on speech technologies based in Zurich, with offices in London, Moscow, Madrid, and Milan. The current position is for the Zurich headquarters.
We are looking for a Senior Research Engineer to improve our acoustic modeling and voice biometrics technologies. You will be an active member of the core R&D team and will help to develop training recipes, optimize the related existing processes and tools, and bring new technologies to the company. Your responsibility within the team will increase gradually: you will begin with understanding the basic technology of the company and using it to generate acoustic and speaker verification models for internal projects, and, after some adaptation time, you will work on our core technology to keep it at the state-of-the-art level. In this role, you should be able to work independently and also to discuss problems and solutions with the rest of the team. You should have excellent organization and problem-solving skills.
This is a permanent position, with a desired start date in November.
If you are interested in this offer and believe you are a good match, please send us a copy of your updated CV to hr@spitch.ch
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6-19 | (2017-10-03) Assistant professor in phonetics/laboratory phonology, University of Delaware, USA JOB AD FALL 2017
University of Delaware seeks an assistant professor in phonetics/laboratory phonology
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6-20 | (2017-10-05) Language Resources Project Manager - Junior (m/f), ELDA, Paris, France The European Language resources Distribution Agency (ELDA), a company specialized in Human Language Technologies within an international context is currently seeking to fill an immediate vacancy for a Language Resources Project Manager ? Junior position. This yields excellent opportunities for young, creative, and motivated candidates wishing to participate actively to the Language Engineering field. Language Resources Project Manager - Junior (m/f)Under the supervision of the Language Resources Manager, the Language Resources Project Manager ? Junior will be in charge of the identification of Language Resources (LRs), the negotiation of rights in relation with their distribution, as well as the data preparation, documentation and curation. The position includes, but is not limited to, the responsibility of the following tasks:
Profile:
All positions are based in Paris. Applications will be considered until the position is filled. Salary is commensurate with qualifications and experience. ELDA ELDA is acting as the distribution agency of the European Language Resources Association (ELRA). ELRA was established in February 1995, with the support of the European Commission, to promote the development and exploitation of Language Resources (LRs). Language Resources include all data necessary for language engineering, such as monolingual and multilingual lexica, text corpora, speech databases and terminology. The role of this non-profit membership Association is to promote the production of LRs, to collect and to validate them and, foremost, make them available to users. The association also gathers information on market needs and trends. For further information about ELDA and ELRA, visit:
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6-21 | (2017-10-14) Postdoc Amélioration des outils vocaux d'évaluation de la prononciation en apprentissage de langues, Loria, Nancy, France Postdoc Amélioration des outils vocaux d'évaluation de la prononciation en apprentissage de langues
Lieu : LORIA (Nancy, France)
Equipe : MULTISPEECH
Durée : 16 mois
Début : Hiver 2018
Contact :
Slim Ouni slim.ouni@loria.fr
Denis Jouvet denis.jouvet@loria.fr
Contexte
MULTISPEECH étudie différents aspects de la modélisation de la parole, tant pour la reconnaissance de la parole que pour la synthèse de la parole. Les approches développées mettent en ?uvre du traitement du signal et des modèles statistiques. Les modélisations les plus récentes reposent sur les réseaux de neurones et l?apprentissage profond qui ont apporté des gains substantiels de performance dans de nombreux domaines.
Les technologies vocales peuvent également servir pour l?apprentissage de langues. L?objectif consiste alors à détecter les défauts de prononciation des apprenants (prononciation des sons et intonation), à poser des diagnostics et à aider l?apprenant à améliorer sa prononciation en lui fournissant des informations multimodales (textuelles, sonores et visuelles). Plusieurs projets collaboratifs récents ont porté sur ce thème et ont permis de constituer des corpus de parole d?apprenants, d?analyser la parole non-native d?apprenants et d?approfondir la fiabilité de retours automatiques vers l?apprenant.
Dans le cadre du projet collaboratif e-FRAN METAL qui porte sur l?utilisation du numérique dans l?éducation, ces techniques seront adaptées, enrichies, et mises en oeuvre pour aider à l?apprentissage d?une langue étrangère à l?école. Des expérimentations sont prévues dans des classes de collège et de lycée.
Missions
Les travaux menés porteront sur l?amélioration et le développement d?outils vocaux pour l?évaluation des prononciations, tant au niveau des sons qu?au niveau de l?intonation. Un point important à étudier et à approfondir concerne la fiabilité des traitements et des mesures effectués (e.g., durée des sons issues de la segmentation phonétique, et valeurs de la fréquence fondamentale), et la prise en considération de ces informations de fiabilité des mesures dans l?établissement des diagnostics sur les défauts de prononciation, et les retours vers les apprenants.
Après une adaptation des outils et modèles au contexte non-natif des apprenants d?une langue étrangère, la plus grande partie du projet sera consacrée à des aspects plus innovants, et concernera l?étude d?approches à base d?apprentissage profond pour la détection de défauts de prononciation, et l?estimation des incertitudes sur les mesures faites (durées des sons et valeurs de la fréquence fondamentale) afin d?assurer la fiabilité des diagnostics effectués.
Profil et compétences recherchées
- Connaissances en traitement de la parole, reconnaissance de la parole, ou synthèse de la parole
- Connaissance, voire maitrise d?un toolkit de reconnaissance de la parole
- Expérience des réseaux de neurones, et si possible maitrise d?un toolkit de réseaux de neurones
- Bonnes compétences en informatique, et en programmation
L?annonce complète se trouve ici :
Français:
English
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6-22 | (2018-10-14) Ingénieur Consolidation et adaptation des outils vocaux d'aide à l'apprentissage de langues, Loria, Nancy ,France Ingénieur Consolidation et adaptation des outils vocaux d?aide à l?apprentissage de langues
Lieu : LORIA (Nancy, France)
Equipe : MULTISPEECH
Durée : 12 mois (prolongation possible)
Début : Automne 2017
Contact :
Slim Ouni slim.ouni@loria.fr
Denis Jouvet denis.jouvet@loria.fr
Contexte
MULTISPEECH étudie différents aspects de la modélisation de la parole, tant pour la reconnaissance de la parole que pour la synthèse de la parole. Les approches développées mettent en ?uvre du traitement du signal et des modèles statistiques. Les modélisations les plus récentes reposent sur les réseaux de neurones et l?apprentissage profond qui ont apporté des gains substantiels de performance dans de nombreux domaines.
Les technologies vocales peuvent également servir pour l?apprentissage de langues. L?objectif consiste alors à détecter les défauts de prononciation des apprenants (prononciation des sons et intonation), à poser des diagnostics et à aider l?apprenant à améliorer sa prononciation en lui fournissant des informations multimodales (textuelles, sonores et visuelles). Plusieurs projets collaboratifs récents ont porté sur ce thème et ont permis de constituer des corpus de parole d?apprenants, d?analyser la parole non-native d?apprenants et d?approfondir la fiabilité de retours automatiques vers l?apprenant.
Dans le cadre du projet collaboratif e-FRAN METAL qui porte sur l?utilisation du numérique dans l?éducation, ces techniques seront adaptées, enrichies, et mises en oeuvre pour aider à l?apprentissage d?une langue étrangère à l?école. Des expérimentations sont prévues dans des classes de collège et de lycée.
Missions
Dans ce cadre, la première mission consistera à consolider les outils vocaux d?aide à l?évaluation de prononciations, et à les adapter à l?utilisation prévue dans le projet. Cela nécessitera la collecte de voix d?adolescents (correspondant aux niveaux ciblés pour les expérimentations en collège et lycée) et l?adaptation des modèles acoustiques aux voix d?adolescents. Compte tenu des outils informatiques disponibles dans les classes, un mode de fonctionnement client-serveur sera privilégié.
La suite des travaux portera sur le développement de la version globale du système d?apprentissage de la prononciation et son expérimentation dans des classes de collège et de lycée. Le système développé devra intégrer des aspects de présentation d?exemples, d?évaluation de prononciations et de retours vers l?apprenant sur la qualité des prononciations.
Profil et compétences recherchées
- Connaissances en traitement de la parole, reconnaissance de la parole, ou synthèse de la parole
- Connaissance, voire maitrise d?un toolkit de reconnaissance de la parole
- Bonnes compétences en informatique, et en programmation
Annonce complète se trouve ici :
Français :
English
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6-23 | (2017-10-17) Call for Multiple PhD positions in Human-Machine Interaction funded by the ANIMATAS Innovative Training Network Call for Multiple PhD positions in Human-Machine Interaction funded by the ANIMATAS Innovative Training Network
ANIMATAS (MSCA ? ITN ? 2017 - 765955 2) is a H2020 Marie Sklodowska Curie European Training Network funded by Horizon 2020 (the European Union?s Framework Programme for Research and Innovation), coordinated by Université Pierre et Marie Curie (Paris, France). ANIMATAS partners are: UPMC (coord.), Uppsala Univ., Institut Mines Telecom, KTH, EPFL, INESC-ID, Jacobs Univ. and SoftBank Robotics Europe.
Scientific and technical objectives ANIMATAS focuses on the following objectives: 1) Exploration of fundamental questions relating to the interconnections between robots and virtual characters? appearance, behaviours and perception by people 2) Development of new social learning mechanisms that can deal with different types of human intervention and allow robots and virtual characters to learn in an unconstrained manner 3) Development of new approaches for robots and virtual characters? personalised adaptation to human users in unstructured and dynamically evolving social interactions Multiple Positions in Human-Machine Interaction:
15 early-stage researchers (ESR) positions of 36 months are available within ANIMATAS. The successful candidates will participate in the network?s training activities offered by the European academic and industrial participating teams. The successful candidate will be have the opportunity to work with Interactive Robotics, Furhat Robotics, Mobsya, University of Wisconsin- Madison, University of Southern California, Immersion SAS, IDMind, Trinity College Dublin.
Details and specific deadlines are available at http://animatas.isir.upmc.fr/
ESR 1 - Social context effects on expressive behaviour of embodied systems
Contact: Arvid Kappas (Jacobs Uni)
ESR 2 - Modeling communicative behaviours for different roles of pedagogical agents
Contact: Catherine Pelachaud (UPMC)
ESR 3 - Modeling trust in human-robot educational interactions
Contact: Ginevra Castellano (UU)
ESR 4 - Synthesis of Multi-Modal Socially Intelligent Human-Robot Interaction
Contact: Amir Pandey (SBR)
ESR 5 - Socially compliant behaviour modelling for artificial systems and small groups of teachers and learners
Contact: Christopher Peters (KTH)
ESR 6 - Teacher orchestration of child-robot interaction
Contact: Pierre Dillenbourg (EPFL)
ESR 7 - Which mutual-modelling mechanisms to optimize child-robot interaction
Contact: Pierre Dillenbourg (EPFL)
ESR 9 - Learning from and about humans for robot task learning
Contact: Mohamed Chetouani (UPMC)mohamed.chetouani@upmc.fr ESR 10 - Let?s Learn by Collaborating with Robots
Contact: Francisco Melo (INESC-ID)
ESR 11 - Disfluencies and teaching strategies in social interactions between a pedagogical agent and a student
Contact: Chloé Clavel (IMT)
PhD 12 - Automatic assessment of engagement during multi-party interactions
Contact: Pierre Dillenbourg (EPFL)
ESR 13 - Automatic synthesis and instantiation of proactive behaviour by robot during human robot interaction: going beyond just being active or reactive
Contact: Amit Pandey (SBR)
ESR 14 - Socio-affective effects on the degree of human-robot cooperation
Contact: Ana Paiva (INESC-ID)
ESR 15 - Adaptive self-other similarity in facial appearance and behaviour for facilitating cooperation between humans and artificial systems
Contact: Christopher Peters (KTH).
chpeters@kth.se Requirements: To apply, candidates must submit their CV, a letter of application, two letters of reference and academic credentials to the recruitment committee, Mohamed Chetouani (network coordinator), Ana Paiva and Arvid Kappas at contact-animatas@listes.upmc.fr and to the main supervisor of the research project of interest. Please note that different deadlines of applications occur and are detailed here : http://animatas.isir.upmc.fr/
Reviewing and selection of applications will start in October 2017. The positions will remain open until filled.
The application procedure will be carried out in compliance with the Code of Conduct for Recruitment of the European Charter and Code for Researchers.
Contacts:
Mohamed CHETOUANI (ANIMATAS Coord.)
Emily MOTU (Project Manager)
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6-24 | (2018-10-25) PhD vacancy at Aalborg University, Denmark PhD Stipend in Low-resource Keyword Spotting for Hearing Assistive Devices at Aalborg University, Denmark
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6-25 | (2017-10-27) Postdoc in ASR and Language Modeling, Aalto University, Finland Postdoctoral researcher in Speech Recognition and Language Modeling
The speech recognition group (led by Prof. Mikko Kurimo) at Aalto University, Finland, focuses on machine learning in automatic speech recognition (ASR) and language modeling. The group developed a state-of-the-art fixed vocabulary ASR system already in 1970's and an unlimited vocabulary neural phonetic typewriter in 1980's led by Academician Teuvo Kohonen. Since 2000 led by Prof. Mikko Kurimo, the group has developed state-of-the-art unlimited vocabulary ASR systems using sub-word language models for several languages. The most recent achievement is winning the 3rd Multi-Genre Broadcast ASR challenge in 2017, where the top research groups in the field were challenged to build a recognizer for an under-resourced language using machine learning methods. The speech recognition group consists of a couple of senior researchers, post-docs and six PhD students that bring together expertise from many relevant areas such as acoustic modeling, lexical modeling, language modeling, decoding, machine learning, machine translation, user interfaces, and toolkits such as Kaldi, AaltoASR, TheanoLM, VariKN, and Morfessor. We operate in a well-connected academic environment using excellent GPU and CPU computing facilities and have a functional office space at Aalto University Otaniemi campus that is only 10 minutes away from downtown Helsinki via the new subway line. We are now looking for a 1-3 year postdoc to start asap on any of our research themes:
The position requires a relevant doctoral degree in CS or EE, skills for doing excellent research in an (English-speaking) group, and outstanding research experience in at least one of the research themes mentioned above. More specifically, programming skills and good command of Kaldi and DNNs (either Theano or TensorFlow toolkits) will be useful. The candidate is expected to perform high-quality research and participate in the supervision of the PhD students. The application, CV, list of publications, references and requests for further information should be sent by email to Prof. Mikko Kurimo (mikko.kurimo at aalto.fi). Aalto University is a new university created in 2010 from the merger of the Helsinki University of Technology, Helsinki School of Economics and the University of Art and Design Helsinki. The University?s cornerstones are its strengths in education and research, with 20,000 basic degree and graduate students. In addition to a decent salary, the contract includes occupational health benefits, and Finland has a comprehensive social security system. The Helsinki Metropolitan area forms a world-class information technology hub, attracting leading scientists and researchers in various fields of ICT and related disciplines. Moreover, as the birthplace of Linux, and the home base of Nokia/Alcatel-Lucent/Bell Labs, F-Secure, Rovio, Supercell, Slush (the biggest annual startup event in Europe) and numerous other technologies and innovations, Helsinki is fast becoming one of the leading technology startup hubs in Europe. See more e.g. athttp://www.investinfinland.fi/. As a living and working environment, Finland consistently ranks high in quality of life, and Helsinki, the capital of Finland, is regularly ranked as one of the most livable cities in the world. See more athttps://finland.fi and http://www.helsinkitimes.fi/finland/finland-news/domestic/14966-helsinki-ranked-again-as-world-s-9th-most-liveable-city.htmlHome page of the group: http://spa.aalto.fi/en/research/research_groups/speech_recognition/
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6-26 | (2017-10-25) Speech scientist at ELSA, Lisbon, PortugalSpeech scientist at ELSALocation: Lisbon, Portugal contact: people@elsaspeak.com Job DescriptionWe are looking for an splendid Speech Scientist to join our team al ELSA and help us in our mission to help every language learner speak a foreign language fluently and confidently. As a speech scientist al ELSA you will be playing with state-of-the-art machine learning and applying them to tons of audio and text data, towards building new technology and improving existing algorithms. At ELSA you will not do your job alone. Solving a problem includes working with a team (backend, speech scientists, product managers, designers) to design solutions that would impact hundreds of thousands of users. We are an agile team. We are passionate engineers. We are highly collaborative. We value results. We go above and beyond to help our users and to deliver superb products, but we also value work-life balance - we are motorcycle riders, mountain climbers, food-enthusiasts, espresso lovers, yoga students, proud parents. With more than 1.5M app downloads, your research will be directly influenced and will influence the many thousands of users that use our app daily. Your role
Requirements
What we offer
ApplicationSend your LinkedIn profile or your CV to people@elsaspeak.com and we will get in touch. About us
ELSA (English Language Speech Assistant) Corp. is a San Francisco-based startup with engineering offices in Lisbon. Our vision is to enable everyone to speak foreign languages with full confidence, reaching better life and career opportunities. Our flagship product, ELSA speak, is a personal mobile coach who improves our users' English pronunciation and intonation using phoneme and suprasegmental analysis of the user's speech signal. Our backend servers implement state-of-the-art speech recognition technology to pinpoint errors and give accurate and consistent feedback to our users on how to improve.
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6-27 | (2017-10-25) Senior Speech scientist at ELSASenior speech scientist at ELSALocation: flexible, where would you like to live? contact: people@elsaspeak.com Job descriptionWe are looking for an splendid Senior Speech Scientist to join our team al ELSA and help us in our mission to help every language learner speak a foreign language fluently and confidently. As a Senior Scientist at ELSA you will be responsible for the evolution of the speech technology powering our language assessment services. Your efforts will translate directly to new voice-enabled features and better assessment quality for hundreds of thousands of language learners that use ELSA app. In addition, you will work directly with the CTO to define and drive the scientific roadmap of the company. At ELSA you will not do your job alone. Solving a problem includes working with a team (backend, speech scientists, product managers, designers) to design solutions that would impact hundreds of thousands of users. We are an agile team. We are passionate engineers. We are highly collaborative. We value results. We go above and beyond to help our users and to deliver superb products, but we also value work-life balance - we are motorcycle riders, mountain climbers, food-enthusiasts, espresso lovers, yoga students, proud parents. Join our world-class team and be one of the personalities that make the ELSA culture awesome. Requirements:
Bonus skills
What we offer
ApplicationSend your an email with your LinkedIn profile or your CV to people@elsaspeak.com and we will get back to you. About usELSA Corp. is a US (San Francisco) startup with engineering offices in Lisbon. Our vision is to enable everyone to speak foreign languages with full confidence, reaching better life and career opportunities, powered by our proprietary speech recognition technology using deep learning. Our flagship product, ELSA speak, is a personal mobile coach who improves our users' English pronunciation and intonation using phonetic and suprasegmental analysis of the user's speech. Our backend servers implement state-of-the-art speech assessment technology to pinpoint the user?s most outstanding errors and give accurate and consistent feedback on how to solve them.
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6-28 | (2017-10-26) Two post-doctoral researchers at Idiap Research Institute, Martigny, Switzerland Openings for two post-doctoral researchers at Idiap Research Institute.
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6-29 | (2017-11-02) Postdoctoral research position: Acoustic cough detection and processing for healthcare, University of Stellenbosch, South Africa. November 2017
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6-30 | (2017- 11-02) Postdoctoral research position: Extremely-low-resource radio browsing for humanitarian monitoring in rural Africa, University of Stellenbosch, South Africa Postdoctoral research position: Extremely-low-resource radio browsing for humanitarian monitoring in rural Africa
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6-31 | (2017-11-05) 15 PhD positions from mid-2018 Le réseau de formation sur le traitement automatique de la parole pathologique (TAPAS) est un projet H2020 MSCA-ITN-ETN qui fournira à 15 doctorants une formation large et intensive sur le traitement de la parole pathologique. Le consortium du projet TAPAS comprend des praticiens cliniques, des chercheurs universitaires et des partenaires industriels, avec une expertise couvrant l'ingénierie de la parole, la linguistique et la science clinique. Le programme de travail TAPAS est organisé autour de trois grands thèmes:
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6-32 | (2017-11-08) Visiting Assistant Professor in Computational Linguistics and Language Science, Rochester, NY, USA Visiting Assistant Professor in Computational Linguistics and Language Science http://apptrkr.com/1116774
Detailed Job Description: · Deep learning for natural language understanding · Speech and speech technology · Multimodal and linguistic sensors · Human-computer interaction · Linguistic narrative analytics · Advanced graduate coursework in computational linguistics, including natural language and/or spoken language processing or technical methods in linguistics. · Publication record and coherent plan for research and grant seeking activities. · Evidence of outstanding teaching. · Ability to contribute in meaningful ways to the college's continuing commitment to cultural diversity, pluralism, and individual differences. · A research statement · A teaching statement · Copy of transcripts of graduate coursework · A sample publication · The names, addresses, and phone numbers for three references
Questions regarding this position can be directed to the search committee chair-Dr. Cecilia Ovesdotter Alm at coagla@rit.edu.
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6-33 | (2017-11-10) Principal Speech Recognition Engineer, Speechmatics, Cambridge, UK Principal Speech Recognition Engineer Location: Cambridge, UK Contact: careers@speechmatics.com Background Speechmatics’ versatile automatic speech recognition technology, based on decades of research and experience in neural networks, is enabling world-leading companies to power a speech-enabled future. Having already transcribed millions of hours of audio and helped customers across a diverse range of use cases and applications, the team’s mission is to build the best speech technology for any application, anywhere, in any language and put speech back at the heart of communication. In the office, we pride ourselves on a relaxed but productive environment enabling both commercial success and personal development - we often host lunch and learn sessions and attend regular academic and commercial conferences. When we're not working hard, we regularly host company outings and events where your plus-one is welcomed to enjoy great food, great drinks, and great company! We also reward ourselves occasionally with massages, and even get our bikes fixed onsite! We think it’s important to give a little back too, so everyone is eligible for some time off for charity work plus we’ll match your contribution via the Give As You Earn scheme. See more about our great perks below! We are expanding rapidly and are seeking talented people to join us as we continue to push the boundaries of speech recognition. This is an opportunity to join a high growth team and form a major part of its future direction. The Opportunity We are looking for a talented and experienced speech recognition engineer to help us build the best speech technology for anybody, anywhere, in any language. You will be a part of a team that is building languages packs and developing our core ASR capabilities including improving our speed, accuracy and support for all languages. Your work will feed into the ‘Automatic Linguist’, our ground-breaking framework to support the building of ASR models and hence the delivery of every language pack published by the company. Alongside the wider team you will be responsible for keeping our system the most accurate and useful commercial speech recognition available. Because you will be joining a rapidly expanding team, you will need to be a team player, who thrives in a fast paced environment, with a focus on rapidly moving research developments into products. We strongly encourage versatility and knowledge transfer within the team, so we can share efficiently what needs to be done to meet our commitments to the rest of the company. Key Responsibilities
Experience
Desirable
Salary We offer a competitive salary and bonus scheme, pension contribution matching and a generous EMI share option scheme. We also have several additional benefits including private medical insurance, holiday purchase, life assurance, childcare vouchers, cycle scheme, massages, bike doctor, fully stocked drinks fridge, and fresh fruit available daily to name just a few!
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6-34 | (2017-11-10) Principal Language Modelling Engineer, Speechmatics, Cambridge, UK Principal Language Modelling Engineer Location: Cambridge, UK Contact: careers@speechmatics.com Background Speechmatics’ versatile automatic speech recognition technology, based on decades of research and experience in neural networks, is enabling world-leading companies to power a speech-enabled future. Having already transcribed millions of hours of audio and helped customers across a diverse range of use cases and applications, the team’s mission is to build the best speech technology for any application, anywhere, in any language and put speech back at the heart of communication. In the office, we pride ourselves on a relaxed but productive environment enabling both commercial success and personal development - we often host lunch and learn sessions and attend regular academic and commercial conferences. When we're not working hard, we regularly host company outings and events where your plus-one is welcomed to enjoy great food, great drinks, and great company! We also reward ourselves occasionally with massages, and even get our bikes fixed onsite! We think it’s important to give a little back too, so everyone is eligible for some time off for charity work plus we’ll match your contribution via the Give As You Earn scheme. See more about our great perks below! We are expanding rapidly and are seeking talented people to join us as we continue to push the boundaries of speech recognition. This is an opportunity to join a high growth team and form a major part of its future direction. The Opportunity We are looking for a talented and experienced Language Modelling expert to help us build the best speech technology for anybody, anywhere, in any language. You will be a part of a team that is working on our core ASR capabilities to improve our speed, accuracy and support for all languages. Your role will include making sure our Language Modelling capability remains at the head of the field. Your work will feed into the ‘Automatic Linguist’, our ground-breaking framework to support the building of ASR models, and hence the delivery of every language pack published by the company. Alongside the wider team you will be responsible for keeping our system the most accurate and useful commercial speech recognition available. Because you will be joining a rapidly expanding team, you will need to be a team player who thrives in a fast paced environment, with a focus on rapidly moving research developments into products. We strongly encourage versatility and knowledge transfer within the team, so we can share efficiently what needs to be done to meet our commitments to the rest of the company. Key Responsibilities
Experience Essential
Desirable
Salary We offer a competitive salary and bonus scheme, pension contribution matching and a generous EMI share option scheme. We also have several additional benefits including private medical insurance, holiday purchase, life assurance, childcare vouchers, cycle scheme, massages, bike doctor, fully stocked drinks fridge, and fresh fruit available daily to name just a few!
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6-35 | (2017-11-10) Principal Acoustic Modelling Engineer, Speechmatics, Cambridge,UK Principal Acoustic Modelling Engineer Location: Cambridge, UK Contact: careers@speechmatics.com Background Speechmatics’ versatile automatic speech recognition technology, based on decades of research and experience in neural networks, is enabling world-leading companies to power a speech-enabled future. Having already transcribed millions of hours of audio and helped customers across a diverse range of use cases and applications, the team’s mission is to build the best speech technology for any application, anywhere, in any language and put speech back at the heart of communication. In the office, we pride ourselves on a relaxed but productive environment enabling both commercial success and personal development - we often host lunch and learn sessions and attend regular academic and commercial conferences. When we're not working hard, we regularly host company outings and events where your plus-one is welcomed to enjoy great food, great drinks, and great company! We also reward ourselves occasionally with massages, and even get our bikes fixed onsite! We think it’s important to give a little back too, so everyone is eligible for some time off for charity work plus we’ll match your contribution via the Give As You Earn scheme. See more about our great perks below! We are expanding rapidly and are seeking talented people to join us as we continue to push the boundaries of speech recognition. This is an opportunity to join a high growth team and form a major part of its future direction. The Opportunity We are looking for a talented and experienced Acoustic Modelling expert to help us build the best speech technology for anybody, anywhere, in any language. You will be a part of a team that is working on our core ASR capabilities to improve our speed, accuracy and support for all languages. Your role will include making sure our Acoustic Modelling capability remains at the head of the field. Your work will feed into the ‘Automatic Linguist’, our ground-breaking framework to support the building of ASR models, and hence the delivery of every language pack published by the company. Alongside the wider team you will be responsible for keeping our system the most accurate and useful commercial speech recognition available. Because you will be joining a rapidly expanding team, you will need to be a team player who thrives in a fast paced environment, with a focus on rapidly moving research developments into products. We strongly encourage versatility and knowledge transfer within the team, so we can share efficiently what needs to be done to meet our commitments to the rest of the company. Key Responsibilities
Experience Essential
Desirable
We offer a competitive salary and bonus scheme, pension contribution matching and a generous EMI share option scheme. We also have several additional benefits including private medical insurance, holiday purchase, life assurance, childcare vouchers, cycle scheme, massages, bike doctor, fully stocked drinks fridge, and fresh fruit available daily to name just a few!
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6-36 | (2017-11-10) Speech Recognition Intern, Speechmatics, Cambridge, UK Speech Recognition Intern Location: Cambridge, UK Contact: careers@speechmatics.com Background Speechmatics’ versatile automatic speech recognition technology, based on decades of research and experience in neural networks, is enabling world-leading companies to power a speech-enabled future. Having already transcribed millions of hours of audio and helped customers across a diverse range of use cases and applications, the team’s mission is to build the best speech technology for any application, anywhere, in any language and put speech back at the heart of communication. In the office, we pride ourselves on a relaxed but productive environment enabling both commercial success and personal development - we often host lunch and learn sessions and attend regular academic and commercial conferences. When we’re not working hard, we regularly host company outings and events where your plus-one is welcomed to enjoy great food, great drinks and great company! We also reward ourselves occasionally with massages, and even get our bikes fixed onsite! We are expanding rapidly and are seeking talented people to join us as we continue to push the boundaries of speech recognition. This is an opportunity to join a high growth team and form a major part of its future direction. The Opportunity We are looking for a bright, enthusiastic and talented speech recognition intern to help us build the best speech technology for anybody, anywhere, in any language. You will be a part of a team that is building languages packs and developing our core ASR capabilities including improving our speed, accuracy and support for all languages. Your work will feed into the ‘Automatic Linguist’, our ground-breaking framework to support the building of ASR models and hence the delivery of every language pack published by the company. Alongside the wider team you will be responsible for keeping our system the most accurate and useful commercial speech recognition available. Because you will be joining a rapidly expanding team, you will need to be a team player who thrives in a fast paced environment, happy to pick up whatever needs to be done, with a focus on rapidly moving research developments into products. We strongly encourage versatility and knowledge transfer within the team, so we can share efficiently what needs to be done to meet our commitments to the rest of the company. Key Responsibilities
Experience Essential
Desirable
Salary This will be a paid internship. We also have several additional benefits including massages, bike doctor, fully stocked drinks fridge, and fresh fruit available daily to name just a few!
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6-37 | (2017-11-10) Speech Recognition Engineer, Speechmatics, Cambridge, UK Speech Recognition Engineer Location: Cambridge, UK Contact: careers@speechmatics.com Background Speechmatics’ versatile automatic speech recognition technology, based on decades of research and experience in neural networks, is enabling world-leading companies to power a speech-enabled future. Having already transcribed millions of hours of audio and helped customers across a diverse range of use cases and applications, the team’s mission is to build the best speech technology for any application, anywhere, in any language and put speech back at the heart of communication. In the office, we pride ourselves on a relaxed but productive environment enabling both commercial success and personal development - we often host lunch and learn sessions and attend regular academic and commercial conferences. When we're not working hard, we regularly host company outings and events where your plus-one is welcomed to enjoy great food, great drinks, and great company! We also reward ourselves occasionally with massages, and even get our bikes fixed onsite! We think it’s important to give a little back too, so everyone is eligible for some time off for charity work plus we’ll match your contribution via the Give As You Earn scheme. See more about our great perks below! We are expanding rapidly and are seeking talented people to join us as we continue to push the boundaries of speech recognition. This is an opportunity to join a high growth team and form a major part of its future direction. The Opportunity We are looking for a talented speech recognition engineer to help us build the best speech technology for anybody, anywhere, in any language. You will be a part of a team that is building languages packs and developing our core ASR capabilities including improving our speed, accuracy and support for all languages. Your work will feed into the ‘Automatic Linguist’, our ground-breaking framework to support the building of ASR models and hence the delivery of every language pack published by the company. Alongside the wider team you will be responsible for keeping our system the most accurate and useful commercial speech recognition available. Because you will be joining a rapidly expanding team, you will need to be a team player who thrives in a fast paced environment happy to pick up whatever needs to be done, with a focus on rapidly moving research developments into products. We strongly encourage versatility and knowledge transfer within the team, so we can share efficiently what needs to be done to meet our commitments to the rest of the company. Key Responsibilities
Experience Essential
Desirable
Salary We offer a competitive salary and bonus scheme, pension contribution matching and a generous EMI share option scheme. We also have several additional benefits including private medical insurance, holiday purchase, life assurance, childcare vouchers, cycle scheme, massages, bike doctor, fully stocked drinks fridge, and fresh fruit available daily to name just a few!
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6-38 | (2017-11-10) Senior Speech Recognition Engineer, Speechmatics, Cambridge,UK Senior Speech Recognition Engineer Location: Cambridge, UK Contact: careers@speechmatics.com Background Speechmatics’ versatile automatic speech recognition technology, based on decades of research and experience in neural networks, is enabling world-leading companies to power a speech-enabled future. Having already transcribed millions of hours of audio and helped customers across a diverse range of use cases and applications, the team’s mission is to build the best speech technology for any application, anywhere, in any language and put speech back at the heart of communication. In the office, we pride ourselves on a relaxed but productive environment enabling both commercial success and personal development - we often host lunch and learn sessions and attend regular academic and commercial conferences. When we're not working hard, we regularly host company outings and events where your plus-one is welcomed to enjoy great food, great drinks, and great company! We also reward ourselves occasionally with massages, and even get our bikes fixed onsite! We think it’s important to give a little back too, so everyone is eligible for some time off for charity work plus we’ll match your contribution via the Give As You Earn scheme. See more about our great perks below! We are expanding rapidly and are seeking talented people to join us as we continue to push the boundaries of speech recognition. This is an opportunity to join a high growth team and form a major part of its future direction. The Opportunity We are looking for a talented and experienced speech recognition engineer to help us build the best speech technology for anybody, anywhere, in any language. You will be a part of a team that is building languages packs and developing our core ASR capabilities including improving our speed, accuracy and support for all languages. Your work will feed into the ‘Automatic Linguist’, our ground-breaking framework to support the building of ASR models and hence the delivery of every language pack published by the company. Alongside the wider team you will be responsible for keeping our system the most accurate and useful commercial speech recognition available. Because you will be joining a rapidly expanding team, you will need to be a team player who thrives in a fast paced environment, happy to pick up whatever needs to be done, with a focus on rapidly moving research developments into products. We strongly encourage versatility and knowledge transfer within the team, so we can share efficiently what needs to be done to meet our commitments to the rest of the company. Key Responsibilities
Experience Essential
Desirable
Salary We offer a competitive salary and bonus scheme, pension contribution matching and a generous EMI share option scheme. We also have several additional benefits including private medical insurance, holiday purchase, life assurance, childcare vouchers, cycle scheme, massages, bike doctor, fully stocked drinks fridge, and fresh fruit available daily to name just a few!
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6-39 | (2017-11-12) Language Resources Project Manager - Junior (m/f), ELDA, Paris, France nceThe European Language resources Distribution Agency (ELDA), a company specialized in Human Language Technologies within an international context is currently seeking to fill an immediate vacancy for a Language Resources Project Manager ? Junior position. This yields excellent opportunities for young, creative, and motivated candidates wishing to participate actively to the Language Engineering field. Language Resources Project Manager - Junior (m/f)Under the supervision of the Language Resources Manager, the Language Resources Project Manager ? Junior will be in charge of the identification of Language Resources (LRs), the negotiation of rights in relation with their distribution, as well as the data preparation, documentation and curation. The position includes, but is not limited to, the responsibility of the following tasks:
Profile:
All positions are based in Paris. Applications will be considered until the position is filled. Salary is commensurate with qualifications and experience. ELDA ELDA is acting as the distribution agency of the European Language Resources Association (ELRA). ELRA was established in February 1995, with the support of the European Commission, to promote the development and exploitation of Language Resources (LRs). Language Resources include all data necessary for language engineering, such as monolingual and multilingual lexica, text corpora, speech databases and terminology. The role of this non-profit membership Association is to promote the production of LRs, to collect and to validate them and, foremost, make them available to users. The association also gathers information on market needs and trends. For further information about ELDA and ELRA, visit:
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6-40 | (2017-11-15) PHD RESEARCH FELLOWSHIPS ( ML/Dialogue/Language/Speech), University of Trento, Italy Title: 2018 PHD RESEARCH FELLOWSHIPS ( ML/Dialogue/Language/Speech)
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6-41 | (2017-11-20) Audio Signal Processing Maverick (Applied Research), AVA, Paris, France Audio Signal Processing Maverick (Applied Research)
ASR research is sadly mostly largely done in big companies. Sure, talent is around, but it's really only in a less crowded space that you can really shine and see the impact that you can do. A.K.A. an early-stage startup, when you’re still a group of friends with a crazy ambition to change the world. Here’s what drives us nuts: Products where ASR is really the key component are 99% of the time made for: *answering quick/superficial requests from lazy users (Siri, Google Now, Cortana, Echo) *dealing with angry customers on the phone (all the IVRs) *dictating emails for busy people (Nuance) What if you could truly change 400M lives instead? Turn a lifetime of frustration into a deep connection? Ava aims at captioning the world to make it fully accessible, 24/7, to deaf & hard-of-hearing people. Mobile-first, the app is the fastest & most advanced captioning system in the world, beating what tech giants have done, by cleverly using speech and speaker identification technologies to make conversations between deaf & hard-of-hearing people and hearing people possible. At Ava, the CEO is the only hearing person in a family of deaf people, and the CTO is deaf and non-speaking - both were Forbes 30 under 30 2017. We use our ASR-based product everyday to communicate. Our motivations are aligned with the change we want to make in the world. We care about the millions of people out there who struggle everyday to just have a social & professional life and that YOUR tech will help. If it wasn't for Ava, the next best solution would take 10X time (it's not a solution) or 100X cost (it's not accessible to all). We’re working with companies such as GE, Nike, Salesforce, but also universities, stores, and even churches to fulfill our mission to make the world truly accessible. What we need to get to the next level? You - someone with prior research experience in audio signal processing. The core mission will be to enhance a speech recognition system used in real world cocktail party situations. The signal is acquired via an array of ad-hoc microphones, and is processed to optimize its quality for the transcription, using a set of techniques: source localization, Time Difference of Arrival, noise cancelling, source separation… all in real time. Interested to learn more about it? Let’s chat. Especially if: ● You just finished a PhD in audio signal processing. ● You’re ready to be a pioneer in the field, and do what is necessary to make things work in real world situations. ● You're of the persistent, yet open-minded and collaborative type: you reason by independent thinking first, but you know that together, we're stronger. What you get ● Early-stage -> massive equity opportunity. ● An opportunity to apply cutting-edge technologies to solve real world problems, right now ● Competitive salary The job will be based in our Paris office.
Interested? Let us know at alex@ava.me
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6-42 | (2017-11-20) Speaker Identification Maverick (Applied Research) , Ava, Paris, France Speaker Identification Maverick (Applied Research) ● You just finished a PhD in Machine Learning. ● Experience in Speaker Identification, ASR, NLP, acoustic modeling, language models or source separation is a plus. ● You ambition to be a pioneer in the field, and do what is necessary to make things work in real world situations. ● You're of the persistent, yet open-minded and collaborative type: you reason by independent thinking first, but you know that together, we're stronger.
What we offer ● Early-stage -> massive equity opportunity. ● An opportunity to apply cutting-edge technologies to solve real world problems, right now ● Competitive salary The job will be based in our Paris office.
Interested? Let us know at alex@ava.me.
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6-43 | (2017-11-21) PhD position in Opinion Analysis in human-agent interactions, Telecom ParisTech, Paris France PhD position in Opinion Analysis in human-agent interactions
Telecom ParisTech [1] 46 rue Barrault 75013 Paris ? France
Possibility to start with an internship during first semester 2018.
Duration of the PhD funding: 36 months
*Position description*
The PhD student will take part in the ANR JCJC MAOI (Multimodal Analysis of Opinions in Interactions) at Telecom-ParisTech. He/She will tackle the following challenging issue: the integration of opinion mining methods in human-agent interactions (i.e. companion robots or virtual vocal assistants such as Siri, Google Now, Cortana, etc.) The role of the PhD will consist in developing machine learning methods for the multimodal (i.e. speech and text) analysis of the user?s opinion during his/her interaction with an agent. The main challenge will be to integrate the interaction context in machine-learning opinion detection methods. The work will include: - the development of machine learning/deep learning approaches (Conditional Random Fields, Long-Short-Term-Memory networks) - the integration of complex and interactional linguistic features in machine-learning models for the detection of opinions in interactions - the integration of acoustic features in multimodal models - the evaluation of the system in interaction context. The PhD will join the Social Computing topic [2] in the S2a group [3] at Telecom-ParisTech. Selected references for this position from [4] : Barriere, V., Clavel, C., and Essid, E. (2017). Opinion dynamics modeling for movie review transcripts classification with hidden conditional random fields. Interspeech. Clavel, C.; Callejas, Z., Sentiment analysis: from opinion mining to human-agent interaction, Affective Computing, IEEE Transactions on, 7.1 (2016): 74-93 Langlet, C. and Clavel, C. (2015). Improving social relationships in face-to-face human-agent interactions: when the agent wants to know user?s likes and dislikes. In ACL, Beijin, China. Langlet, C. and Clavel, C. (2016). Grounding the detection of the user?s likes and dislikes on the topic structure of human-agent interactions. Knowledge-Based Systems.
As a minimum requirement, the successful candidate will have:
? A master degree or equivalent in one or more of the following areas: machine learning, natural language processing, affective computing ? Excellent programming skills (preferably in Python) ? Good command of English
The ideal candidate will also (optionally) have: ? Knowledge in natural language processing ? Knowledge in probabilistic graphical models and deep learning
-- More about the position ? Place of work: Paris, France ? For more information about Telecom ParisTech see [1]
-- How to apply Applications are to be sent to Chloé Clavel [4]
The application should be formatted as a single pdf file and should include: ? A complete and detailed curriculum vitae ? A letter of motivation ? The transcript of grades ? The names and addresses of two referees
[1] https://www.telecom-paristech.fr/eng/ [3] http://www.tsi.telecom-paristech.fr/ssa/# [4] https://clavel.wp.imt.fr/publications/
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6-44 | (2017-11-20) ASSISTANT PROFESSOR IN HUMAN-CENTERED COMPUTING, Virginia Tech, USA ASSISTANT PROFESSOR IN HUMAN-CENTERED COMPUTING
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6-45 | (2017-11-20) Three Postdoctoral Researchers/Project Researchers (Speech processing and deep learning), University of East Finland, Finland Three Postdoctoral Researchers/Project Researchers (Speech processing and deep learning)
The University of Eastern Finland, UEF, is one of the largest multidisciplinary universities in Finland. We offer education in nearly one hundred major subjects, and are home to approximately 15,000 students and 2,500 members of staff. From 1 August 2018 onwards, we?ll be operating on two campuses, in Joensuu and Kuopio. In international rankings, we are ranked among the leading universities in the world.
The Faculty of Science and Forestry operates on the Kuopio and Joensuu campuses of the University of Eastern Finland. The mission of the faculty is to carry out internationally recognised scientific research and to offer research-education in the fields of natural sciences and forest sciences. The faculty invests in all of the strategic research areas of the university. The faculty?s environments for research and learning are international, modern and multidisciplinary. The faculty has approximately 3,800 Bachelor?s and Master?s degree students and some 490 postgraduate students. The number of staff amounts to 560. http://www.uef.fi/en/lumet/etusivu
We are now inviting applications for three Postdoctoral Researcher/Project Researcher positions in speech processing and deep learning funded by Academy of Finland, School of Computing, Joensuu Campus.
o Two positions in automatic speaker rec, voice conversion, anti-spoofing (NOTCH project)
o One position in deep reinforcement learning for physical agents (DEEPEN project)
The two projects share similarities in terms of machine learning methods being used and developed further, but are otherwise differently focused.
The NOTCH research project (NOn-cooperaTive speaker CHaracterization), being led by Associate Professor Tomi Kinnunen, aims at advancing state-of-the-art in automatic speaker verification (defense) and voice conversion (attack) under a generic umbrella of non-cooperative speech, whether being induced by spoofing attacks, disguise, or other intentional voice modifications. A successful applicant needs to have background in speaker verification, anti spoofing, voice conversion, machine learning or closely related topics.
The DEEPEN research project (Deep Reinforcement Learning for Physical Agents) is run in co operation between UEF and robotics group at Aalto University. UEF?s part, lead by Senior Researcher Ville Hautamäki, aims at designing new statistical models for simulated robot control and to take steps towards solving the so-called ?reality gap? problem. The post-doc may also contribute to speech and deep learning topics. A successful applicant needs to have background in deep learning, reinforcement learning, speech technology or machine vision. Practical experience in DRL research environments (e.g. VizDoom or MuJoCo), will be counted as a plus.
The Machine Learning group of the School of Computing, at the facilities of Joensuu Science Park, provides access to modern research infrastructure and is a strongly international working environment. We hosted the Odyssey 2014 conference, were a partner in the H2020-funded OCTAVE project, and are a co-founder of the Automatic Speaker Verification and Countermeasures (ASVspoof) challenge series (http://www.asvspoof.org/).
A person to be appointed as a postdoctoral researcher shall hold a suitable doctoral degree that has been awarded less than five years ago. If the doctoral degree has been awarded more than five years ago, the post will be one of a project researcher. The doctoral degree should be in spoken language technology, electrical engineering, computer science, machine learning or a closely related field. Researchers finishing their PhD in the near future are also encouraged to apply for the positions. However, they are expected to hold a PhD degree by the starting date of the position. We expect strong hands-on experience and creative out-of-the-box problem solving attitude. A successful applicant needs to have an internationally proven track record in topics relevant to the project he or she applies to.
English may be used as the language of instruction and supervision in these positions.
The positions will be filled from earliest January 1, 2018 for a period of 12 months. The continuation of the position will be agreed separately. The position will be filled for a fixed term due to pertaining to a specific project (Postdoctoral researcher positions shall always be filled for a fixed term, UEF University Regulations 31 §).
The salary of the position is determined in accordance with the salary system of Finnish universities and is based on level 5 of the job requirement level chart for teaching and research staff (?2.865,30/ month). In addition to the job requirement component, the salary includes a personal performance component, which may be a maximum of 46.3% of the job requirement component.
For further information on the position, please contact (NOTCH): Associate Professor Tomi Kinnunen, email: tkinnu@cs.uef.fi, tel. +358 50 442 2647 and (DEEPEN): Senior Researcher Ville Hautamäki, email: villeh@cs.uef.fi, tel. +358 50 511 8271. For further information on the application procedure, please contact: Executive Head of Administration Arja Hirvonen, tel. +358 44 716 3422, email: arja.hirvonen@uef.fi.
A probationary period is applied to all new members of the staff.
You can use the same electronic form to apply for both research projects. The electronic application should contain the following appendices:
- a résumé or CV
- a list of publications
- copies of the applicant's academic degree certificates/ diplomas, and copies of certificates / diplomas relating to the applicant?s language proficiency, if not indicated in the academic degree certificates/diplomas
- motivation letter
- a cover letter indicating the position to be applied for
- The names and contact information of at least two referees are requested in the application form.
The application needs to be submitted no later than December 22, 2017 (by 24:00 EET) by using the electronic application form. Navigate to http://www.uef.fi/en/uef/en-open-positions and search for ?Three Postdoctoral Researchers/Project Researchers (Speech processing and deep learning)? to find the link to the electronic application form.
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6-46 | (2017-12-03) Machine Learning Engineer, Speech Recognition, Aja-la studios, Green Richmond UK Machine Learning Engineer, Speech Recognition developing acoustic and language models, and related algorithms, for our suite of proprietary speech recognition products for a broad library of under-resourced languages. This role provides a unique opportunity to pursue research and commercialization of speech recognition for under-resourced languages. in and/or demonstrate experience working with under-resourced languages, an interest in working on the entire R&D/product-development cycle. •Masters or PhD in an analytical discipline through which you have acquired a strong knowledge of topics including o Theory and practice of speech recognition and/or speech processing (LSCVR) o Signal Processing/Pattern Recognition o Probability theory o Bayesian inference o Machine learning and related topics • Strong software development skills o Required: C/C++, Python, CUDA/Nsight IDE, shell scripting, Perl, Github/SVN o Optional/Additional: Java/Android/Gradle/Android Studio, Objective C/Xcode/Cocos2dx • Speech processing, Neural Network and Natural Language platforms and libraries o Kaldi, KenLM, OpenFST, and HTS o Theano, PDNN, pyTorch, TensorFlow • Operating Systems: Unix/Linux/Mac OS 1 The Green Richmond, TW9 1PL UK www.ajalastudios.com
amongst other benefits.
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6-47 | (2017-12-04) Machine Learning Engineer, Speech Synthesis , Aja-la studios,Green Richmond UK Machine Learning Engineer, Speech Synthesis topics including o Theory and practice of speech synthesis and/or speech processing, e.g. vocoding o Signal Processing/Pattern Recognition o Probability theory o Bayesian inference o Machine learning and related topics • Strong software development skills o Required: C/C++, Python, CUDA/Nsight IDE, shell scripting, Perl, Github/SVN o Optional/Additional: Java/Android/Gradle/Android Studio, Objective C/Xcode/Cocos2dx • Speech processing, Neural Network and Natural Language platforms and libraries o Festival, HTK, and HTS o Theano, PDNN, pyTorch, TensorFlow • Operating Systems: Unix/Linux/Mac OS 1 The Green Richmond, TW9 1PL UK www.ajalastudios.com amongst other benefits.
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6-48 | (2017-12-03) Research Assistant/Associate in Speech Processing, at Cambridge University Engineering Department, Cambridge, UK. Research Assistant/Associate in Speech Processing, at Cambridge University Engineering Department, Cambridge, UK.
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6-49 | (2017-12-05) One-year post-doctoral position in speech production, GIPSA, Grenoble, France One-year post-doctoral position in speech production, in the framework of the StopNCo ANR project (http://www.agence-nationale-recherche.fr/Project-ANR-14-CE30-0017 <http://www.agence-nationale-recherche.fr/Project-ANR-14-CE30-0017>), starting from March 2018 (at the latest in October 2018).
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6-50 | (2017-12-06) PhD Position in Social Signal Processing for Multi-Sensor Conversation Quality Modeling, Delft University, The Netherlands Job Link: https://tinyurl.com/MINGLEPhD PhD Position in Social Signal Processing for Multi-Sensor Conversation Quality Modeling Location: Delft University of Technology, The Netherlands Deadline: January 12 2018 (see below for application procedure) Project Description: An important but under-explored problem in computer science is the automated analysis of conversational dynamics in large unstructured social gatherings such as networking or mingling events. Research has shown that attending such events contributes greatly to career and personal success. While much progress has been made in the analysis of small pre-arranged conversations, scaling up robustly presents a number of fundamentally different challenges. Unlike analysing small pre-arranged conversations, during mingling, sensor data is seriously contaminated. Moreover, determining who is talking with whom is difficult because groups can split and merge at will. A fundamentally different approach is needed to handle both the complexity of the social situation as well as the uncertainty of the sensor data when analysing such scenes. The successful applicants will develop automated techniques to analyse multi-sensor data (video, acceleration, audio, etc) of human social behavior. They will work as part of a team on the NWO Funded Vidi project MINGLE (Modelling Group Dynamics in Complex Conversational Scenes from Non-Verbal Behaviour). They will have the opportunity to interact with researchers from both computer science and social science both locally and internationally. The main aim of the project is to address the following question: How can multi-sensor processing and machine learning methods be developed to model the dynamics of conversational interaction in large social gatherings using only non-verbal behaviour? The two project advertised focus on developing novel computational methods to measure conversation quality (e.g. involvement, rapport) from multi-sensor streams in crowded environments
Job requirements: We are looking students who have recently completed or expect very soon an MSc or equivalent degree in computer science, electrical/electronic engineering, applied mathematics, applied physics, or a related discipline. Experience in the following or related fields are preferred: signal/audio/speech processing, computer vision, machine learning, and pattern recognition. Some experience with embedded systems is a bonus, though not necessary.
The successful applicant will have:- good programming skills;- curiosity and analytical skills;- the ability to work in a multi-disciplinary team;- motivation to meet deadlines;- an affinity with the relevant social science research;- good oral and written communication skills;-proficiency in English;- an interest in communicating their research results to a wider audience; Institution:
The department Intelligent Systems is part of the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) at Delft University of Technology. The faculty offers an internationally competitive interdisciplinary setting for its 500 employees, 350 PhD students and 1700 undergraduates. Together they work on a broad range of technical innovations in the fields of sustainable energy, quantum engineering, microelectronics, intelligent systems, software technology, and applied mathematics.??? The Pattern Recognition and BioInformatics Group is one of five groups in the department, consisting of 7 faculty and over 20 postdoc and PhD students. Within this group, research is carried out in three core subjects; pattern recognition, computer vision, and bioinformatics. One of the main focuses of the group is on developing tools and theories, and gaining knowledge and understanding applicable to a broad range of general problems but typically involving sensory data, e.g. times signals, images, video streams, or other physical measurement data. For information about the TU Delft Graduate School, please visit www.phd.tudelft.nl.???? Application Procedure: Interested applicants should send an up-to-date curriculum vitae, degree transcripts, letter of application, and the names and the contact information (telephone number and email address) of two references to Hr-eemcs@tudelft.nl with the subject heading '[MINGLE PhD]'.
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6-51 | (2017-12-08) PhD grant at IRISA, Rennes France L'équipe Expression de l'IRISA recrute un.e doctorant.e en Détails de l'offre : https://www-expression.irisa.fr/files/2017/12/these_TREMoLo_2017.pdf - CV détaillé* - lettre de motivation* - relevés de notes (avec classement si possible)* - contacts pour recommandation* - rapport(s) de stage recherche. gwenole.lecorve@irisa.fr. Gwénolé Lecorvé.
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