World's Best Scientists 2026 revealed!

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Computer Science

D-Index
32
Citations
3724
World Ranking
13257
National Ranking
345

Overview

Laurent Girin is affiliated with the Grenoble Institute of Technology in France and has conducted extensive research within the fields of computer science, particularly focusing on signal processing and artificial intelligence. Their scholarly output includes a significant emphasis on speech and audio processing, music and audio processing, and speech recognition and synthesis.

The scientist's work frequently appears in a range of publication venues, with a considerable number of contributions to arXiv (Cornell University). They have also published multiple papers in IEEE/ACM Transactions on Audio Speech and Language Processing, as well as in HAL (Le Centre pour la Communication Scientifique Directe), SSRN Electronic Journal, and Zenodo (CERN European Organization for Nuclear Research).

Laurent Girin's main fields and subfields of study encompass:

  • Computer Science
  • Signal Processing
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Experimental and Cognitive Psychology
  • Cognitive Neuroscience

Their research topics cover a broad spectrum of audio-related technologies, including:

  • Speech and Audio Processing
  • Music and Audio Processing
  • Speech Recognition and Synthesis
  • Generative Adversarial Networks and Image Synthesis
  • Music Technology and Sound Studies
  • Topic Modeling
  • Phonetics and Phonology Research

Recent publications by Laurent Girin include a variety of works addressing both theoretical and applied aspects of speech and audio technologies:

  • "Dynamical Variational Autoencoders: A Comprehensive Review" (2021) published in Foundations and Trends® in Machine Learning
  • "A survey of sound source localization with deep learning methods" (2022) published in The Journal of the Acoustical Society of America
  • "Audio-Visual Speech Enhancement Using Conditional Variational Auto-Encoders" (2020) published in IEEE/ACM Transactions on Audio Speech and Language Processing
  • "Unsupervised Speech Enhancement Using Dynamical Variational Autoencoders" (2022) published in IEEE/ACM Transactions on Audio Speech and Language Processing
  • "Improved feature extraction for CRNN-based multiple sound source localization" (2021) published at the 2021 29th European Signal Processing Conference (EUSIPCO)

The scientist has collaborated regularly with several co-authors, including:

  • Thomas Hueber
  • Xavier Alameda-Pineda
  • Simon Leglaive
  • Pierre-Amaury Grumiaux
  • Alexandre Guérin

Laurent Girin's research contributions predominantly contribute to developing and improving methods in audio signal processing and machine learning, with frequent engagement in speech-related topics and applications related to generative models and signal enhancement. The body of work reflects interdisciplinary approaches involving cognitive psychology and computer vision in broader contexts.

Best Publications

  • A Survey of Sound Source Localization with Deep Learning Methods.

    Pierre-Amaury Grumiaux;Srdan Kitic;Laurent Girin;Alexandre Guérin

  • Dynamical Variational Autoencoders: A Comprehensive Review

    Laurent Girin;Simon Leglaive;Xiaoyu Bie;Julien Diard

  • Audio-visual enhancement of speech in noise.

    Laurent Girin;Jean-Luc Schwartz;Gang Feng

  • Mixing Audiovisual Speech Processing and Blind Source Separation for the Extraction of Speech Signals From Convolutive Mixtures

    B. Rivet;L. Girin;C. Jutten

  • Informed source separation through spectrogram coding and data embedding

    Antoine Liutkus;Jonathan Pinel;Roland Badeau;Laurent Girin

  • A Watermarking-Based Method for Informed Source Separation of Audio Signals With a Single Sensor

    Mathieu Parvaix;Laurent Girin;Jean-Marc Brossier

  • Dynamical Variational Autoencoders: A Comprehensive Review

    Laurent Girin;Simon Leglaive;Xiaoyu Bie;Julien Diard

  • Real-Time Control of an Articulatory-Based Speech Synthesizer for Brain Computer Interfaces.

    Florent Bocquelet;Thomas Hueber;Laurent Girin;Christophe Savariaux;Christophe Savariaux

  • A Recurrent Variational Autoencoder for Speech Enhancement

    Simon Leglaive;Xavier Alameda-Pineda;Laurent Girin;Radu Horaud

  • Log-Rayleigh Distribution: A Simple and Efficient Statistical Representation of Log-Spectral Coefficients

    B. Rivet;L. Girin;C. Jutten

  • Deep neural networks for automatic detection of screams and shouted speech in subway trains

    Pierre Laffitte;David Sodoyer;Charles Tatkeu;Laurent Girin

  • An Analysis of Visual Speech Information Applied to Voice Activity Detection

    D. Sodoyer;B. Rivet;L. Girin;J.-L. Schwartz

  • Key considerations in designing a speech brain-computer interface

    Florent Bocquelet;Thomas Hueber;Laurent Girin;Stéphan Chabardès

  • A VARIANCE MODELING FRAMEWORK BASED ON VARIATIONAL AUTOENCODERS FOR SPEECH ENHANCEMENT

    Simon Leglaive;Laurent Girin;Radu Horaud

  • Informed Source Separation of Linear Instantaneous Under-Determined Audio Mixtures by Source Index Embedding

    M Parvaix;L Girin

  • Semi-supervised Multichannel Speech Enhancement with Variational Autoencoders and Non-negative Matrix Factorization

    Simon Leglaive;Laurent Girin;Radu Horaud

  • Separation of audio-visual speech sources: a new approach exploiting the audio-visual coherence of speech stimuli

    David Sodoyer;Jean-Luc Schwartz;Laurent Girin;Jacob Klinkisch

  • Unsupervised Speech Enhancement using Dynamical Variational Auto-Encoders

    Xiaoyu Bie;Simon Leglaive;Xavier Alameda-Pineda;Laurent Girin

  • A variational EM algorithm for the separation of time-varying convolutive audio mixtures

    Dionyssos Kounades-Bastian;Laurent Girin;Xavier Alameda-Pineda;Sharon Gannot

  • Co-localization of audio sources in images using binaural features and locally-linear regression

    Antoine Deleforge;Radu Horaud;Yoav Y. Schechner;Laurent Girin

  • Informed source separation of underdetermined instantaneous stereo mixtures using source index embedding

    Mathieu Parvaix;Laurent Girin

  • Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders

    Mostafa Sadeghi;Simon Leglaive;Xavier Alameda-PIneda;Laurent Girin

  • Audio-Visual Speech Enhancement Using Conditional Variational Auto-Encoders

    Mostafa Sadeghi;Simon Leglaive;Xavier Alameda-Pineda;Laurent Girin

Frequent Co-Authors

Radu Horaud
Radu Horaud French Institute for Research in Computer Science and Automation - INRIA
Jean-Luc Schwartz
Jean-Luc Schwartz Centre national de la recherche scientifique, CNRS
Sharon Gannot
Sharon Gannot Bar-Ilan University
Christian Jutten
Christian Jutten Grenoble Alpes University
Roland Badeau
Roland Badeau Télécom ParisTech
Laurent Daudet
Laurent Daudet Université Paris Cité
Gael Richard
Gael Richard Télécom ParisTech
Yoav Y. Schechner
Yoav Y. Schechner Technion – Israel Institute of Technology
Stephan Chabardes
Stephan Chabardes Grenoble Alpes University
Jonathon A. Chambers
Jonathon A. Chambers Harbin Engineering University

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