Number of documents

10

Stéphane Huet


Assistant professor (Maitre de conférences) in computer science

Member of LIA

stephane (dot) huet (at) univ-avignon.fr

CERI/LIA - Avignon Université - 339 chemin des Meinajaries, Agroparc BP 91228, 84911 Avignon cedex 9, France

 

Short biography

My main research interests are machine translation, dialogue systems and machine learning for natural language processing.

 

I received the engineer’s degree in computer science from INSA, Rennes, France, in 2004, and the Ph.D. degree in computer science from the Université de Rennes 1, France in 2007. I worked as a postdoctoral researcher at the DIRO, Université de Montréal, Canada between 2008 and 2010.

 

Since 2010, I have been an Associate Professor at the LIA, Avignon Université, France.

 

Between 2013 and 2016, I was in charge of the Master of computer science of Avignon Université (~70 students graduated per year). Since 2016, I have been the head of the computer science department (teaching part) of Avignon Université (~550 enrolled students per year).

 

 

 

 

 

 

 


Multimedia content-based indexing   

Journal articles1 document

  • Stéphane Huet, Guillaume Gravier, Pascale Sébillot. Morpho-syntactic post-processing of N-best lists for improved French automatic speech recognition. Computer Speech and Language, Elsevier, 2010, 24 (4), pp.663-684. ⟨10.1016/j.csl.2009.10.001⟩. ⟨hal-00508471⟩

Conference papers5 documents

  • Stéphane Huet, Guillaume Gravier, Pascale Sébillot. Un modèle multi-sources pour la segmentation en sujets de journaux radiophoniques. 15ème conférence sur le Traitement Automatique des Langues Naturelles (TALN), 2008, Avignon, France. pp.49-58. ⟨hal-02021382⟩
  • Stéphane Huet, Guillaume Gravier, Pascale Sébillot. Morphosyntactic resources for automatic speech recognition. 6th International Conference on Language Resources and Evaluation (LREC), 2008, Marrakech, Morocco. ⟨hal-02021879⟩
  • Stéphane Huet, Guillaume Gravier, Pascale Sébillot. Morphosyntactic Processing of N-Best Lists for Improved Recognition and Confidence Measure Computation. 8th Annual Conference of the International Speech Communication Association (Interspeech), 2007, Antwerp, Belgium. pp.1741-1744. ⟨hal-02021878⟩
  • Stéphane Huet, Guillaume Gravier, Pascale Sébillot. Peut-on utiliser les étiqueteurs morphosyntaxiques pour améliorer la transcription automatique ?. 26èmes journées d'étude sur la parole (JEP), 2006, Dinard, France. ⟨hal-02021377⟩
  • Stéphane Huet, Guillaume Gravier, Pascale Sébillot. Are Morphosyntactic Taggers Suitable to Improve Automatic Transcription?. 9th International Conference on Text, Speech and Dialogue (TSD), 2006, Brno, Czech Republic. pp.391-398. ⟨hal-02021874⟩

Book sections1 document

  • Stéphane Huet, Gwénolé Lecorvé, Guillaume Gravier, Pascale Sébillot. Toward the Integration of Natural Language Processing and Automatic Speech Recognition: Using Morpho-Syntax and Pragmatics for Transcription. Petros Maragos, Alexandros Potamianos, Patrick Gros. Multimodal Processing and Interaction: Audio, Video, Text, Springer US, pp.201-218, 2008, 978-0-387-76316-3. ⟨10.1007/978-0-387-76316-3_9⟩. ⟨hal-02021921⟩

Reports2 documents

  • Stéphane Huet, Pascale Sébillot, Guillaume Gravier. Utilisation de la linguistique en reconnaissance de la parole : un état de l'art. [Rapport de recherche] RR-5917, INRIA. 2006, pp.72. ⟨inria-00077386v2⟩
  • Stéphane Huet, Pascale Sébillot, Guillaume Gravier. Utilisation de la linguistique en reconnaissance de la parole : un état de l'art. [Rapport de recherche] PI 1804, 2006, pp.72. ⟨inria-00077747⟩

Theses1 document

  • Stéphane Huet. Informations morpho-syntaxiques et adaptation thématique pour améliorer la reconnaissance de la parole. Interface homme-machine [cs.HC]. Université Rennes 1, 2007. Français. ⟨tel-00524245⟩