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Computer Science

D-Index
41
Citations
6943
World Ranking
8854
National Ranking
212

Overview

Laurent Besacier is affiliated with Grenoble Alpes University in France and specializes primarily in the field of Computer Science. Their research predominantly focuses on Artificial Intelligence, with additional work encompassing Computer Vision and Pattern Recognition, Molecular Biology, Information Systems, and Literature and Literary Theory.

The main topics addressed in their research include:

  • Natural Language Processing Techniques
  • Topic Modeling
  • Speech and Dialogue Systems
  • Speech Recognition and Synthesis
  • Multimodal Machine Learning Applications
  • ICT in Developing Communities
  • Machine Learning in Bioinformatics

Laurent Besacier has contributed to several scientific publications across various venues. The most frequent publishing platforms are:

  • arXiv (Cornell University)
  • Interspeech 2022
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Machine Translation
  • Zenodo (CERN European Organization for Nuclear Research)

Recent research papers include:

  • "Divide and Rule: Effective Pre-Training for Context-Aware Multi-Encoder Translation Models" (2022), published in Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • "On the Evaluation of Machine Translation for Terminology Consistency" (2021), published in arXiv (Cornell University)
  • "A Study of Gender Impact in Self-supervised Models for Speech-to-Text Systems" (2022), presented at Interspeech 2022
  • "Learning From Failure: Data Capture in an Australian Aboriginal Community" (2022), published in Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • "BERT, can HE predict contrastive focus? Predicting and controlling prominence in neural TTS using a language model" (2022), presented at Interspeech 2022

In addition to journal and conference articles, Besacier has contributed to book publications, including "Statistical Language and Speech Processing" (2020) through Springer Science+Business Media.

Collaborating frequently with other researchers, Laurent Besacier's prominent coauthors include:

  • Marcely Zanon Boito
  • Alexandre Bérard
  • Marco Dinarelli
  • Yannick Estève
  • Vassilina Nikoulina

Best Publications

  • Automatic speech recognition for under-resourced languages: A survey

    Laurent Besacier;Etienne Barnard;Alexey Karpov;Tanja Schultz

  • Listen and Translate: A Proof of Concept for End-to-End Speech-to-Text Translation

    Alexandre Bérard;Olivier Pietquin;Laurent Besacier;Christophe Servan

  • FlauBERT: Unsupervised Language Model Pre-training for French

    Hang Le;Loïc Vial;Jibril Frej;Vincent Segonne

  • Step-by-step and integrated approaches in broadcast news speaker diarization

    Sylvain Meignier;Sylvain Meignier;Daniel Moraru;Corinne Fredouille;Jean-François Bonastre

  • End-to-End Automatic Speech Translation of Audiobooks

    Alexandre Berard;Laurent Besacier;Ali Can Kocabiyikoglu;Olivier Pietquin

  • The zero resource speech challenge 2017

    Ewan Dunbar;Xuan Nga Cao;Juan Benjumea;Julien Karadayi

  • Listen and Translate: A Proof of Concept for End-to-End Speech-to-Text Translation

    Alexandre Berard;Olivier Pietquin;Christophe Servan;Laurent Besacier

  • Information extraction from sound for medical telemonitoring

    D. Istrate;E. Castelli;M. Vacher;L. Besacier

  • Automatic sound detection and recognition for noisy environment

    Alain Dufaux;Laurent Besacier;Michael Ansorge;Fausto Pellandini

  • The Zero Resource Speech Challenge 2019: TTS Without T.

    Ewan Dunbar;Robin Algayres;Julien Karadayi;Mathieu Bernard

  • Augmenting Librispeech with French Translations: A Multimodal Corpus for Direct Speech Translation Evaluation

    Ali Can Kocabiyikoglu;Laurent Besacier;Olivier Kraif

  • Breaking the unwritten language barrier: the BULB project

    Gilles Adda;Sebastian Stüker;Martine Adda-Decker;Martine Adda-Decker;Odette Ambouroue

  • Automatic Speech Recognition for Under-Resourced Languages: Application to Vietnamese Language

    Viet-Bac Le;L. Besacier

  • GSM speech coding and speaker recognition

    L. Besacier;S. Grassi;A. Dufaux;M. Ansorge

  • Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction

    Maha Elbayad;Laurent Besacier;Jakob Verbeek

  • Localization and selection of speaker-specific information with statistical modeling

    L. Besacier;J. F. Bonastre;C. Fredouille

  • On the Use of Morphological Analysis for Dialectal Arabic Speech Recognition

    Mohamed Afify;Ruhi Sarikaya;Hong-Kwang Jeff Kuo;Laurent Besacier

  • Subband architecture for automatic speaker recognition

    Laurent Besacier;Jean-François Bonastre

  • The ELISA consortium approaches in broadcast news speaker segmentation during the NIST 2003 rich transcription evaluation

    D. Moraru;S. Meignier;C. Fredouille;L. Besacier

  • Monolingual Adapters for Zero-Shot Neural Machine Translation

    Jerin Philip;Alexandre Berard;Matthias Gallé;Laurent Besacier

  • LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech

    Solène Evain;Ha Nguyen;Hang Le;Marcely Zanon Boito

  • Lightweight Adapter Tuning for Multilingual Speech Translation

    Hang Le;Juan Pino;Changhan Wang;Jiatao Gu

Frequent Co-Authors

Jean-François Bonastre
Jean-François Bonastre University of Avignon
Emmanuel Dupoux
Emmanuel Dupoux School for Advanced Studies in the Social Sciences
Jakob Verbeek
Jakob Verbeek Facebook AI Research (FAIR) in Paris
Olivier Pietquin
Olivier Pietquin Google (United States)
Alan W. Black
Alan W. Black Carnegie Mellon University
Florian Metze
Florian Metze Carnegie Mellon University
Lori Lamel
Lori Lamel University of Paris-Saclay
Tanja Schultz
Tanja Schultz University of Bremen
Graham Neubig
Graham Neubig Carnegie Mellon University
Mark Hasegawa-Johnson
Mark Hasegawa-Johnson University of Illinois at Urbana-Champaign

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