INRIA Nancy propose une thèse sur la génération de la langue des signes à partir de la parole, à  l’Université de Lorraine (à Nancy). 

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Two 2 open postdoctoral positions on the topic of Spoofing-robust speaker verification.

The aim of the research is to combine time and frequency domain information to achieve a better generalization robustness to new attacks.

The positions are open at Afeka Center of Language Processing (ACLP), Tel-Aviv, Israel, to work with Prof.Itshak Lapidot  and his  colleagues from Ben-Gurion University.

Candidates can contact Prof. Lapidot

 Prof. Itshak Lapidot  | Researcher |   ACLP – Afeka Center for Language Processing  |   

Afeka Academic College of Engineering |  Mobile:  052-8902471  |Tel: +972-3-7688793 | itshakl@afeka.ac.il

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Nous recherchons un doctorant en sciences cognitives pour travailler sur un volet du projet ANR-JCJC FRENCHMELO « La prosodie pour comprendre le langage : du traitement de la langue native à l’acquisition de langues étrangères ». Ce volet vise à investiguer la sensibilité des francophones natifs au marqueurs acoustiques de l’accentuation. La personne recrutée participera à la mise en place d’études électrophysiologiques prévues dans le cadre de ce projet. Cette personne sera également en charge de la collecte, l’analyse et la diffusion des données issues de ces études.

Ce poste, d’une durée de trois ans, est à pourvoir au Laboratoire Parole et Langage d'Aix Marseille Université à Aix-en-Provence. Le doctorant sera encadré par Amandine Michelas et Sophie Dufour et sera intégré à l’équipe de recherche S2S et au Groupe Prosodie du Laboratoire Parole et Langage. La date de début prévue est le 1er octobre 2024. 

Les candidats devront être titulaires d’un master de recherche en sciences cognitives, en psychologie cognitive ou en sciences du langage. Le candidat doit avoir un intérêt fort et documenté pour la phonétique et la psycholinguistique. Une expérience antérieure avec l’électrophysiologie est un avantage mais n'est pas une condition requise.

Les candidats intéressés sont priés de soumettre, pour le 30/06/2024 au plus tard, un dossier de candidature comprenant :

- une lettre de motivation

- un curriculum vitae (comprenant l'adresse e-mail et le numéro de téléphone de contact),

- tout autre document pertinent,

le tout dans un seul fichier pdf envoyé aux  adresses suivantes : amandine.michelas@univ-amu.fr et sophie.dufour@univ-amu.fr

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Summary

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Dans le cadre du projet ANR Pantagruel, l’INA recrute au sein de son équipe de recherche un postdoc spécialisée en TAL pour un CDD de 18 mois. Le cadre des travaux proposé est l’analyse de transcriptions de flux audiovisuels pour l’évaluation de LLMs et leur utilisation en sciences sociales computationnelles. Il s’agit donc de reprendre et adapter des tâches de NLP / SLU au contexte particulier de ces contenus (langue orale, news, débats, talkshow, ...). Les principales tâches sur lesquelles il/elle sera amené à se pencher sont à déterminer parmi les suivantes : segmentation sémantique, détection d’événements médiatiques, extraction de citations, désambiguïsation d'entités nommées, analyse de sentiments, catégorisation, résumé automatique, détection de propos haineux et RAG. Pour ces tâches, il est prévu de mener de bout en bout la création de corpus (train et eval) avec les équipes de l’INA, le développement du code et l’évaluation sur plusieurs modèles de fondation, dont ceux issu du projet Pantagruel. Un accès à notre cluster de calcul ainsi qu’à AdAstra est prévu.

Offre d'emploi :
- https://www.linkedin.com/jobs/view/3912983123/
- https://www.ina.fr/nous-rejoindre/offres-emploi/chercheureuse-postdoc-en-informatique-tal
Projet ANR Pantagruel : https://pantagruel.imag.fr/
Équipe de recherche de l'INA : https://www.ina.fr/institut-national-audiovisuel/equipe-recherche

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Inria ouvre trois offres de thèse sur l'IA vocale :

* compétences socio-émotionnelles audiovisuelles :
https://jobs.inria.fr/public/classic/fr/offres/2024-07503 (date limite : 12 mai)
* synthèse vocale pour les langues régionales :
https://jobs.inria.fr/public/classic/fr/offres/2024-07504 (date limite : 19 mai)
* anonymisation de la parole : https://jobs.inria.fr/public/classic/fr/offres/2024-07586
(date limite : 26 mai)

Les candidats sont invités à postuler en ligne dès que possible. Les candidatures seront
évaluées au fil de l'eau.

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Saarland University, Germany, is a campus university with an international focus and a strong research profile. With numerous internationally respected research institutes on campus and dedicated support for collaborative projects, Saarland University is an ideal environment for innovation and technology transfer. The German Research Center for Artificial Intelligence (DFKI) is Germany's leading application‐driven research institute with a core technology transfer mission. DFKI is currently the world's largest research centre for artificial intelligence operated as a public‐private partnership. DFKI maintains close collaborative ties with national and international companies and is firmly rooted in the worldwide scientific AI landscape.

To further strengthen this excellence in research and teaching, the Department of Language Science and Technology (LST) in collaboration with the German Research Center for Artificial Intelligence ﴾DFKI﴿ is inviting applications for the following position:

Professorship (W3) in Language Technology
(m/f/x; Reference: W2464)

This position is a permanent public sector appointment (equivalent to a 'full‐tenured professorship') starting at the earliest possible opportunity. We are looking for an experienced researcher in the field of language technology who has extensive knowledge of natural language processing and machine learning/AI methodologies. Experience with dialogue systems and reinforcement learning, the development of foundation models and/or trustworthy Artificial Intelligence is also desirable. In addition to holding a professorship at the university, the successful candidate will also be appointed as a scientific director at the German Research Center for Artificial Intelligence ﴾DFKI﴿ where they will head a research department. DFKI is an application‐driven research organization that is largely financed through external project funding. A demonstrated ability to attract significant external funding for research projects at the national and international level is therefore essential. We also expect candidates to have experience in interdisciplinary research and in collaborating with industrial partners. The Department of Language Science and Technology is internationally recognized for its collaborative and interdisciplinary research, and the successful candidate will be expected to contribute to relevant joint research initiatives. Language technologies are core elements of our study programmes at the M.Sc./M.A. and B.Sc./B.A. level and the person appointed will teach courses within these programmes.

What we can offer you:
The successful candidate will conduct world‐class research, lead their own research group at the university and perform teaching and supervisory duties at the undergraduate, graduate and doctoral levels. At DFKI, the person appointed will lead a research department with access to an extensive worldwide network of industrial and other research partners, facilitating research and impact at a scale that is otherwise difficult to achieve. The position offers excellent working conditions in a lively and international scientific community. Saarland University is one of the leading centres for language science and computational linguistics in Europe and offers a dynamic and stimulating research environment. The Department of Language Science and Technology (LST) employs about 100 research staff across nine research groups in the fields of computational linguistics, natural language processing, psycholinguistics, phonetics and speech science, speech processing, and corpus linguistics (https://www.uni‐saarland.de/en/department/lst.html). The department serves as the focal point of the Collaborative Research Centre 1102 'Information Density and Linguistic Encoding' (http://www.sfb1102.uni‐saarland.de) and of the Research Training Group 'Neuroexplicit Models of Language, Vision, and Action' (https://www.neuroexplicit.org/), both of which involve close collaboration with DFKI. The LST department and the DFKI are both part of the Saarland Informatics Campus (SIC: https://saarland‐informatics‐campus.de/en), which brings together some 800 researchers and over 2000 students from 81 countries. SIC is a collaboration between Saarland University and world‐class research institutions on campus, which in addition to DFKI include the Max Planck Institute for Informatics and the Max Planck Institute for Software Systems.

Qualifications:
The appointment will be made in accordance with the general provisions of German public sector employment law. Candidates must have experience in and an aptitude for academic teaching. They will have a PhD or doctorate in an appropriate subject and will have demonstrated a particular capacity forindependent academic research, typically by having obtained an advanced, post‐doctoral research degree (Habilitation) or by having published an equivalent volume of peer‐reviewed research or by having been appointed to a junior professorship or similar position. They will have a proven track record of leading their own research group and of acquiring external research funding. The successful candidate will be expected to actively contribute to departmental research and teaching. The language of instruction is English (in the M.Sc. and M.A. programmes) and German (in the B.Sc./B.A. programmes). We expect the successful candidate either to have sufficient proficiency to teach in both languages or to be willing to acquire this level of proficiency within an appropriate period.

Your Application:
Applications should be submitted online at www.uni-saarland.de/berufungen. No additional paper copy is
required. The application must contain:
• a letter of application and CV/résumé (including your telephone number and email
address)
• a complete list of your academic publications
• a complete list of external funding (stating own share if you were not the sole beneficiary)
• your proposed research concept (2–5 pages)
• your teaching concept (1 page)
• copies of your degree certificates
• complete copies of your five most significant publications
• the names of three academic references (including email addresses), at least one of whom is not one of
your previous academic supervisors.
• If you hold a university degree from a foreign university, please provide proof of equivalence from
Germany's Central Office for Foreign Education ﴾ZAB﴿ if available. If proof of equivalence has not been
requested at the time of application, it must be submitted later upon request.

Applications must be received no later than May 30, 2024.

Please include the job reference number W2464 when you apply. Selected candidates will be interviewed. If you have any questions, please contact: crocker@lst.uni‐saarland.de.

At Saarland University, we view internationalization as a process spanning all aspects of university life. We therefore expect members of our professorial staff to engage in activities that promote and foster further internationalization. Special support will be provided for projects that maintain collaborative interactions within existing international cooperative networks, e.g. projects with partners in the European University Alliance Transform4Europe (www.transform4europe.eu) or the University of the Greater Region (www.uni‐gr.eu)

Saarland University is an equal opportunity employer. In accordance with its affirmative action policy, Saarland University is actively seeking to increase the proportion of women in this field. Qualified women candidates are therefore strongly encouraged to apply. Preferential consideration will be given to
applications from disabled candidates of equal eligibility. We welcome applications regardless of nationality,
ethnic and social origin, religion/belief, age, sexual orientation and identity.

When you submit a job application to Saarland University you will be transmitting personal data. Please refer to our privacy notice (https://www.uni-saarland.de/verwaltung/datenschutz/) for information on how we collect and process personal data in accordance with Art. 13 of the General Data Protection Regulation (GDPR). By submitting your application, you confirm that you have taken note of the information in the Saarland University privacy notice.

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The Metrology and Language Sciences Department (web.umons.ac.be/smsl/) of the University of Mons is looking for candidates to take up a post of PhD candidate (M/F) from August 1, 2024.

CANDIDATE PROFILE (M/F) :

- Entry level: 'Bac +5' (master 300 ECTS credits) at least ;

- Initial training allowing access to doctoral studies organised by the Faculty of Psychology and Educational Sciences (Psychology, Educational Sciences, Speech Therapy, Linguistics) or by the Faculty of Medicine (in particular: ENT and neurology);

- Solid skills in the field of speech and language sciences, as well as in statistical data processing and research methodology;

- Good command of scientific English (oral and written); sufficient command of French;

- Good teamwork skills, creativity, autonomy, rigour, scientific curiosity;

- Additional assets: programming skills (knowledge of a language such as Python or R), clinical experience with patients with motor speech disorders, possession of a driving licence and a private vehicle.

JOB PROFILE :

The post holder (M/F) will contribute to the Department's research efforts in the area covered by the ARC EvalDY project described below. He/she will be preparing a doctoral thesis related to this project. They may be required to play a minor role in the department's teaching supervision activities.

Full-time research grant for a period of three years, renewable in one-year increments, with a starting date of 1^st of August, 2024 at the earliest.

RECRUITMENT PROCEDURE:

Interested candidates are requested to submit, by June 26, 2024 at the latest, an application including :

- a letter of motivation

- a curriculum vitae (including e-mail address and contact telephone number),

- transcripts of each year of higher education,

- any other relevant documents,

all in a single pdf file sent to the following address: veronique.delvaux@umons.ac.be

After an initial assessment of applications based on the application file, a sub-set of candidates will be selected for a second phase involving a selection interview. Successful candidates will be notified by e-mail and/or telephone. The interviews will take place on July 4, 2024, in Mons or remotely via Teams.

PROJECT: Evaluation of voice and speech disorders in dysarthria: EvalDy

The general aim of the project is to contribute to the characterisation and assessment of voice and speech disorders in dysarthria. The objective assessment (via acoustic and articulatory measurements) of pathological speech production is a rapidly expanding field of research, particularly in the French-speaking world, and there are many challenges to be met.

In the first phase, the project aims to document the speech production of a large number of French-speaking Belgian dysarthric patients, both men and women, with diverse profiles in terms of the type of dysarthria and associated aetiology (Parkinson's disease, Wilson's disease, Huntington's disease, Friedreich's ataxia, multiple sclerosis, amyotrophic lateral sclerosis, Kennedy's disease, dysarthria after stroke or head trauma) and the degree of severity of the dysarthria (mild, moderate, severe).

The acoustic recordings concern all the participants, who will be asked to produce the 8 modules of the MonPaGe 2.0.s protocol (repetition of pseudowords, intelligibility task, pneumo-phonatory module, reading of text, spontaneous speech, production of verbal diadocokinesis, automatic series and sentences with varied prosodic contours), to which 3 additional modules will be added (specifically targeting nasal phenomena, glides and phonetic flexibility skills). Several sub-groups of participants will be invited to carry out some of the modules in an experimental setting that will enable acoustic measurements to be combined with physiological measurements in order to study certain specific phenomena (acoustics and nasometry for nasality; acoustics, electroglottography and aerodynamics for coordination between the laryngeal and supra-laryngeal systems; acoustics and ultrasound imaging for articulatory precision; acoustics and imaging by nasofibroscopy and stroboscopy for voice quality).

Analysis of this large data set, in particular analysis of the relationships between acoustic and articulatory measurements, will aim to reduce the multiple acoustic measurements to a smaller number of reliable, robust indicators that can be used to characterise all the dimensions of dysarthric speech: laryngeal functioning, pneumo-phonatory behaviour (including intensity control), fluency, articulatory precision and gestural coordination, organisation of the vowel system, and aptitude for phonetic flexibility.

In a second phase, the project aims to use the acoustic indicators thus isolated to develop (i.e. design, operationalise, then assess the psychometric qualities and finally adapt) several assessment tools, each of which will be dedicated to meeting a more precise objective, defined either in relation to a research question or to a need identified in clinical practice.

The first objective concerns the sub-clinical signs of dysarthria in Parkinson's disease, and the possibility of using certain acoustic indices such as vocal biomarkers to assist clinicians in the early diagnosis of the disease. The second objective is to contribute to differential diagnosis, using a tool for acoustic assessment of speech production to distinguish between different subtypes of dysarthria, as well as between dysarthria and apraxia of speech. The third clinical objective concerns the temporal dynamics of the disease, viewed from an intra-individual perspective. The aim is to propose a tool that is suitable for longitudinal monitoring of dysarthric patients, once the diagnosis has been made. The fourth objective relates to a fundamental research question, that of characterising the evolution of dysarthria as a function of the degree of severity in the context of the retrogenesis hypothesis. The fifth objective concerns intelligibility. The aim is to produce a tool for assessing the intelligibility of dysarthric speech, which can be used in future work on the link between intelligibility, communicative efficiency and quality of life in dysarthric patients.

Prof. Véronique Delvaux, PhD

Chercheur qualifié FNRS à l'UMONS

Chargée de cours UMONS & ULB

Service de Métrologie et Sciences du Langage SMSL

Institut de Recherche en Sciences et Technologies du Langage IRSTL

Local –1.7, Place du Parc, 18, 7000 Mons

+3265373140

https://web.umons.ac.be/smsl/veronique_delvaux/

https://trends.levif.be/canal-z/entreprendre/z-science-14-06-23/

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La faculté des Lettres de l’Université de Strasbourg recrute pour la rentrée 2024 – 2025 un enseignant contractuel en linguistique française. La personne recrutée aura à assurer un service de 384 heures en licences sciences du langage et Lettres modernes et classiques. La rémunération est alignée sur la grille des enseignants du second degré en fonction du profil du candidat. Le contrat débutera au 1^er septembre 2024 pour une durée d’un an.

Nous essayons autant que possible donner plusieurs groupes de TD pour tenter de limiter la charge de travail de préparation mais cela reste un volume important en fin de thèse. Compte tenu du nombre d'heures à assurer, il n'est pas toujours possible de grouper les enseignements et il est donc probable que la personne recrutée ait cours jusqu'à 5 jours par semaine. Nous avons toutefois l'habitude de partager nos supports de cours et intégrer au mieux nos nouveaux collègues.
Les cours portent exclusivement sur la linguistique française au niveau licence. Les services sont en cours de finalisation. Outre les TD de notre maquette, il y aura très probablement quelques cours pour lesquels la personne recrutée sera libre de proposer un contenu (cours d'option), il faudra toutefois valider le thème du cours avec les responsables pédagogiques pour s'assurer qu'il n'y ait pas de redondances.

L'offre est publiée et consultable sous

https://www.unistra.fr/universite/travailler-a-luniversite/personnels-enseignants/enseignants-contractuels#c15883854 

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INRIA Nancy propose deux offres de postes d'ingénieur. Nous vous remercions de les transmettre aux potentielles personnes intéressées. Les candidats sont invités à postuler en ligne dès que possible. Les candidatures seront évaluées au fil de l'eau.

Contexte : À travers le projet COLaF (Corpus et Outils pour les Langues de France), Inria a pour objectif de contribuer au développement de corpus et d’outils libres pour le français et les autres langues de France (alsacien, breton, corse, occitan, etc). La promotion et sauvegarde de ces langues dépend de la disponibilité des technologies linguistiques, mais ces langues sont largement ignorées par les industriels.

Poste 1 : Ingénieur en Traitement des Langues et Développement de Modèles de reconnaissance de la parole

La principale difficulté au développement de technologies linguistiques variées est le manque de données. En particulier, les données audio ont besoin d’une transcription pour la plupart des applications. Mais transcrire manuellement des données audio est coûteux en temps, nécessite la participation d’un.e locuteur.trice de bon niveau, et peut résulter en des données inconsistentes en l’absence d’orthographe standard. Afin d’augmenter la quantité de données audio annotées pour diverses langues de France, et de développer la première brique de chaines de traitement variées pour ces langues, nous souhaitons développer une chaine de traitement pour l’entrainement de systèmes de reconnaissance de la parole (ASR, automatic speech recognition).

Pour plus d'information et postuler : https://jobs.inria.fr/public/classic/fr/offres/2024-07719

Poste 2 : Ingénieur en Traitement Linguistique et Développement de Modèles de synthèse de la parole

L’un des souhaits exprimés par la communauté est un système de synthèse de la parole (TTS, text to speech) qui permettrait de créer facilement du contenu audio à partir de textes, et donc d’enrichir les média existants dans ces langues. Le système devra être adapté au contexte des langues peu dotées. Il devra être souple afin de s’adapter à des sources de données d’entrainement variant dans leur quantité et qualité. Il s’agit de types d’enregistrements variés : longues interviews, phrases isolées, émissions de TV, etc.

Pour plus d'information et postuler : https://jobs.inria.fr/public/classic/fr/offres/2024-07720

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We are looking for a PhD student  interested in Artificial Intelligence, Natural Language Processing and Speech Technology, that will work in a newly funded project at the Department of Speech, Music and Hearing at KTH. The project is financed by the Swedish AI-program WASP (Wallenberg AI, Autonomous Systems and Software Program), which offers a graduate school with research visits, partner universities, and visiting lecturers.

The newly started project is titled 'Thinking Fast and Slow: Real-time Speech Generation for Conversational AI'.  The aim of the project is to develop AI-models capable of generating spoken responses in an incremental fashion, mirroring the nuanced and dynamic nature of human conversation. Our approach builds upon our previous pioneering efforts in the realm of incremental and predictive models for dialogue, which have laid the groundwork for this project.

The position is mainly a research position, with a small fraction of departmental duties (e.g. teaching).

Supervision: Professor Gabriel Skantze and Assoc. Prof. Gustav Eje Henter

https://www.kth.se/lediga-jobb/735886?l=en

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Research Fellow in Multimodal Neural Architecture

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l'équipe TALEP au LIS recherche un-e ingénieur-e de recherche à partir de début octobre.
L'annonce et les modalités pour postuler sont ici :
https://emploi.cnrs.fr/Offres/CDD/UMR7020-BEAALC-005/Default.aspx

* Informations générales

Intitulé de l'offre : INGENIEUR DE RECHERCHE H/F - Ingénieur-e de Recherche en TAL
spécialisé-e dans les LLMs
Référence : UMR7020-BEAALC-005
Nombre de Postes : 1
Lieu de travail : MARSEILLE 09
Date de publication : vendredi 21 juin 2024
Type de contrat : CDD Technique/Administratif
Durée du contrat : 12 mois
Date d'embauche prévue : 7 octobre 2024
Quotité de travail : Temps complet
Rémunération : entre 2932 et 3620 € bruts mensuel selon expérience
Niveau d'études souhaité : Niveau 8 - (Doctorat)
Expérience souhaitée : Indifférent
BAP : Informatique, Statistiques et Calcul scientifique
Emploi type : Chef-fe de projet ou expert-e en Ingéniérie logicielle

* Missions

L’objectif est de développer un moteur de dialogue fondé sur un LLM pour des acteurs
virtuels d’un théâtre forum en réalité virtuelle.

* Activités

La personne recrutée travaillera en collaboration avec les membres du projet TRUENESS
pour mettre en place un moteur de dialogue des acteurs virtuels développés dans Unity. A
partir d’un corpus de théâtre forum en Français, il s’agira d’ajuster un grand modèle de
langue pour permettre un dialogue en langage naturel avec des utilisateurs dans le cadre
d’une scène de discrimination pour identifier les arguments et les contre-arguments tout
en assurant une génération contrôlée. Une partie significative de l'activité sera de
nature expérimentale et demandera de travailler sur les (grands) modèles de l'état de
l'art.

* Compétences

Nous recherchons une personne hautement motivée:
- maîtrisant le français écrit et oral,
- titulaire d'un doctorat récent en intelligence artificielle avec des compétences en
apprentissage profond, traitement automatique des langues
- maîtrisant Python et des plateformes d'apprentissage profond et des principaux
frameworks pour manipuler des modèles de langue et les algorithmes de génération de
textes;
- maîtrisant l'anglais écrit et oral sera un plus

* Contexte de travail

Ce poste s’inscrit dans le projet TRUENESS financé par le CNRS Innovation associant
plusieurs laboratoires CNRS/Université Aix-Marseille (Laboratoire Informatique et
Système, Laboratoire Parole et Langage, Institut des Sciences du Mouvement). Le projet
TRUENESS (« Théâtre-forum viRtuel poUr luttEr coNtre lES diScriminations ») vise à
développer un environnement de réalité virtuelle simulant un « théâtre-forum » utilisé
pour lutter contre les discriminations sociales (genrées et ethniques).

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The Signal Processing and Speech Communication Laboratory (https://www.spsc.tugraz.at) of
Graz University of Technology (TU Graz) is looking for a

    Research and Teaching Associate
            – PreDoc Position –
    in Signal Processing and Speech Communication

with appointment planned for November 2024.

The associate is expected to perform excellent research towards a PhD degree (often in cooperation with international partners) under the guidance of professors Gernot Kubin and Barbara Schuppler. Furthermore, the associate will co-advise Bachelor’s and Master’s student projects and develop and teach laboratory and problem classes on various aspects of signal processing. Fluency in English is a must, knowledge of German is an asset. A strong background in signal processing and/or speech communication as well as an excellent Master’s degree in Electrical Engineering, Information Engineering, or similar are required.

Entry-level gross yearly salaries are about EUR 45.900,- for 40 hrs per week and initial contract durations may span up to 4 years.

The Signal Processing and Speech Communication Laboratory was the main organizer of INTERSPEECH 2019 in Graz (https://www.interspeech2019.org) and takes the lead in building a Graduate School of Speech Language and AI Technologies (https://SpeechLanguageAI.unite-university.eu/) together with 8 partners of the Unite! University Alliance. TU Graz is ranked #2 of all universities in the German speaking countries (https://www.umultirank.org).

Graz (https://www.graztourismus.at/en) is the second largest city of Austria located in the south-eastern province of Styria at the cross-roads of major continental European cultures. It enjoys a vibrant student life with eight universities and excellent leisure and sports opportunities in the larger Alps-Adriatic region. UNESCO has included the historic centre of Graz in its World Heritage List and Graz has been a Cultural Capital of Europe.

For further information, please contact the two advisors
Gernot Kubin at gernot.kubin@tugraz.at  and Barbara Schuppler at b.schuppler@tugraz.at.

Applications are due by September 30, 2024, and must be submitted electronically at
https://jobs.tugraz.at/en/jobs/ce1920cc-83df-21d8-5d44-66717be59744

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L’OInstitut National des Langues et Civilisations rientales (Inalco) lance un appel à candidatures pour un poste de Chaire de Professeur Junior sur le thème : « Intelligence Artificielle pour les langues rares ou peu dotées ». Il s'agit d'un recrutement sur un contrat à durée déterminée (5 ans) avec une charge d'enseignement réduite, permettant à terme, et après évaluation, d’être titularisé sur un poste de professeur des universités fonctionnaire.

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We are looking for a motivated PhD student to join the Division of Speech, Music, and Hearing (TMH) at KTH Royal Institute of Technology in Stockholm.

This project aims to advance Human-Robot Interaction (HRI) by enhancing embodied AI, integrating multimodal social cues and task-related actions into foundation models to enable robots to communicate in a more natural and human-like manner. It addresses the current limitations of Large Language Models, which lack the ability to comprehend and generate essential social cues like facial expressions, gestures, and gaze, as well as perform task-specific behaviors. The project focuses on three key objectives: integrating multimodal perception into AI models, training these models to produce both verbal and non-verbal outputs, and developing new metrics to evaluate their performance in HRI scenarios.

The Swedish AI-program WASP funds this project. WASP's graduate school fosters a strong multi-disciplinary, international network among PhD students, researchers, and industry through research visits, partner universities, and visiting lecturers.

The candidate must have a degree in Computer Science or related fields. Documented written and spoken English and programming skills are required. Some experience with artificial intelligence, robotics, human-robot interaction, and multimodal machine learning is preferred.

The student will start before mid-January of 2024 and the last application date is August 31^st. Application details can be consulted through KTH’s dedicated recruitment system: https://www.kth.se/lediga-jobb/739179?l=en

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https://www.irisa.fr/offres-emploi/2024-03/massive-generation-tts-deepfake-detection

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L'équipe Language and Speech Technology du Laboratoire d'Informatique de l'Université du Mans (LIUM) propose deux sujets de stage (https://lium.univ-lemans.fr/stages/) sur la traduction vocale (Speech-To-Speech Translation) pour les langues peu dotées.

-- Études des systèmes automatiques de traduction vocale ;

-- Système de traduction vocale – Langues peu dotées vers Langues richement dotées

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