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Yannick Estève


Professor in Computer Science 

Head of LIA 

yannick (dot) esteve (at) univ-avignon.fr
LIA - University of Avignon - 339 chemin des Meinajaries, Agroparc BP 91228, 84911 Avignon cedex 9, France 

 

Brief bio

My main research interests are spoken language understanding and speech recognition.  

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 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.

My current research activities focus on spoken language understanding, speech translation, speech analytics, speech recognition, deep neural networks, word embeddings, hidden representation.

Currently (2019-2022), I am leading the ON-TRAC project funded by the ANR (French Research Agency) on end-to-end speech translation, and I am the LIA scientific responsible in the ANR DEEP-PRIVACY project focusing on privacy in the framework of speech recognition.


Sahar Ghannay   

Journal articles1 document

  • Sahar Ghannay, Yannick Estève, Nathalie Camelin. A study of continuous space word and sentence representations applied to ASR error detection. Speech Communication, Elsevier : North-Holland, 2020. ⟨hal-02501943⟩

Conference papers15 documents

  • Antoine Caubrière, Sahar Ghannay, Natalia Tomashenko, Renato de Mori, Antoine Laurent, et al.. Error analysis applied to end-to end spoken language understanding. 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2020, Barcelona, Spain. ⟨hal-02465899⟩
  • Sahar Ghannay, Yannick Estève, Nathalie Camelin. Task Specific Sentence Embeddings for ASR Error Detection. Interspeech 2018, Sep 2018, Hyderabad, India. ⟨10.21437/Interspeech.2018-2211⟩. ⟨hal-01870864⟩
  • Sahar Ghannay, Yannick Estève, Nathalie Camelin. Représentations de phrases dans un espace continu spécifiques à la tâche de détection d'erreurs. XXXIIe Journées d'Etudes sur la Parole (JEP 2018), Jun 2018, Aix-en-Provence, France. ⟨hal-01757774⟩
  • Edwin Simonnet, Sahar Ghannay, Nathalie Camelin, Yannick Estève. Simulating ASR errors for training SLU systems. LREC 2018, May 2018, Miyazaki, Japan. ⟨hal-01715923⟩
  • Edwin Simonnet, Sahar Ghannay, Nathalie Camelin, Yannick Estève. Simulation d'erreurs de reconnaissance automatique dans un cadre de compréhension de la parole. XXXIIe Journées d'Etudes sur la Parole (JEP 2018), Jun 2018, Aix-en-Provence, France. ⟨hal-01757770⟩
  • Edwin Simonnet, Sahar Ghannay, Nathalie Camelin, Yannick Estève, Renato de Mori. ASR error management for improving spoken language understanding. Interspeech 2017, Aug 2017, Stockholm, Sweden. ⟨hal-01526298⟩
  • Sahar Ghannay, Yannick Estève, Nathalie Camelin. Enriching confusion networks for post-processing. Statistical Language and Speech Processing 2017, Oct 2017, Le Mans, France. ⟨hal-01585768⟩
  • Sahar Ghannay, Yannick Estève, Nathalie Camelin, Camille Dutrey, Fabian Santiago, et al.. Utilisation des représentations continues des mots et des paramètres prosodiques pour la détection d’erreurs dans les transcriptions automatiques de la parole. 31ème Journées d’Études sur la Parole, 2016, Paris, France. ⟨hal-01450277⟩
  • Yannick Estève, Sahar Ghannay, Nathalie Camelin. Recent improvements on error detection for automatic speech recognition. 1st International Workshop on Multimodal Media Data Analytics (MMDA 2016), in Conjunction with the 22nd European Conference on Artificial Intelligence, 2016, The Hague The, Netherlands. ⟨hal-01433168⟩
  • Sahar Ghannay, Yannick Estève, Nathalie Camelin, Paul Deléglise. Evaluation of acoustic word embeddings. RepEval@ACL 2016: The 1st Workshop on Evaluating Vector-Space Representations for NLP, 2016, Berlin, Germany. ⟨hal-01433181⟩
  • Sahar Ghannay, Benoit Favre, Yannick Estève, Nathalie Camelin. Word embedding evaluation and combination. 10th edition of the Language Resources and Evaluation Conference (LREC 2016), 2016, Portorož, Slovenia. ⟨hal-01433185⟩
  • Sahar Ghannay, Yannick Estève, Nathalie Camelin, Paul Deléglise. Acoustic word embeddings for ASR error detection. Interspeech 2016, 2016, San Francisco (CA, USA), Unknown Region. ⟨hal-01433176⟩
  • Sahar Ghannay, Nathalie Camelin, Yannick Estève. Which ASR errors are hard to detect?. Workshop Errors by Humans and Machines in multimedia, multimodal and multilingual data processing (ERRARE 2015), 2015, Sinaia, Romania. ⟨hal-01433201⟩
  • Sahar Ghannay, Yannick Estève, Nathalie Camelin, Camille Dutrey, Fabian Santiago, et al.. Combining continous word representation and prosodic features for ASR error prediction. 3rd International Conference on Statistical Language and Speech Processing (SLSP 2015), 2015, Budapest, Hungary. ⟨hal-01433203⟩
  • Sahar Ghannay, Yannick Estève, Nathalie Camelin. Word embeddings combination and neural networks for robustness in ASR error detection. 2015 European Signal Processing Conference (EUSIPCO 2015), 2015, Nice, France. ⟨hal-01433210⟩