Yannick Estève
Professor in Computer Science - Head of LIA - Avignon University
2
Documents
Identifiants chercheurs
- yannick-esteve
- 0000-0002-3656-8883
- Google Scholar : https://scholar.google.fr/citations?user=dQDAeBYAAAAJ&hl=fr&oi=ao
- IdRef : 070531668
Présentation
My main research interests are speech and language processing.
I have studied Computer Science (Licence and Master's degree) at the Faculty of Sciences of Luminy (Marseille, France). I obtained my PhD on 2002, under the direction of Pr. Renato De Mori, at the Computer Science Labs (LIA) of the University of Avignon (Avignon, France), in association with France Telecom R&D (FTRD, now Orange Labs).
I have worked since June 2002 with FTRD as a research engineer, then as a post-doctoral researcher until August 2003.
Then, I have worked until 2018 at the Computer Science Labs (LIUM) of the University of Le Mans (France), from September 2003 as an associate professor, becoming a full professor in 2010.
I have headed the [LIUM](https://lium.univ-lemans.fr/en/) from 2012 to 2016 and was a co-founder of the Language and Speech Technology (LST) team of this lab.
From 2015 to 2018, I was also the head of the Claude Chappe Informatics Institute that coordinates research, teaching, and innovation activities on computer science at the University of Le Mans.
In 2018, I moved to the Computer Science Labs of Avignon (LIA) at the University of Avignon.
In May 2020, I became the head of [LIA](https://lia.univ-avignon.fr/en/).
My current research activities focus on spoken language understanding, speech translation, speech analytics, speech recognition, deep neural networks, word embeddings, hidden representation.
Currently , I am leading the E-SSL project funded by the ANR (French Research Agency) on efficient self supervised learning for speech processing, and I am the LIA scientific responsible in the H2020 SELMA project focusing on transfer learning and user feedback for speech and language processing.
Domaines de recherche
Publications
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Utilisation des représentations continues des mots et des paramètres prosodiques pour la détection d’erreurs dans les transcriptions automatiques de la parole31ème Journées d’Études sur la Parole, 2016, Paris, France
Communication dans un congrès
hal-01450277v1
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Combining continous word representation and prosodic features for ASR error prediction3rd International Conference on Statistical Language and Speech Processing (SLSP 2015), 2015, Budapest, Hungary
Communication dans un congrès
hal-01433203v1
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