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Computer Science
France
2025

D-Index & Metrics

Computer Science

D-Index
54
Citations
9411
World Ranking
4645
National Ranking
92

Research.com Recognitions

  • 2025 - Research.com Computer Science in France Leader Award
  • 2023 - Research.com Computer Science in France Leader Award
  • 2022 - Research.com Computer Science in France Leader Award
  • 2017 - IEEE Fellow For contributions to analysis, indexing and decomposition of audio and music signals

Overview

Gael Richard is affiliated with Télécom ParisTech in France and has contributed extensively to the fields of computer science, with a particular focus on signal processing, audio, and music technology. Their research spans multiple subfields including signal processing, computer vision and pattern recognition, artificial intelligence, biomedical engineering, and music.

The scientist's work predominantly centers on topics related to music and audio processing, speech and audio processing, music technology and sound studies, speech recognition and synthesis, video analysis and summarization, diverse musicological studies, and acoustic wave phenomena research.

Frequent co-authors collaborating with Gael Richard include:

  • Geoffroy Peeters
  • Karim M. Ibrahim
  • Elena V. Epure
  • Kilian Schulze-Forster
  • Clement S. J. Doire

They have published in a variety of venues, often contributing to:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • HAL (Le Centre pour la Communication Scientifique Directe)
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • IEEE Signal Processing Magazine

Some recent papers authored or co-authored by Gael Richard include:

  • Audio Signal Processing in the 21st Century: The important outcomes of the past 25 years, 2023, IEEE Signal Processing Magazine
  • Groove2Groove: One-Shot Music Style Transfer With Supervision From Synthetic Data, 2020, IEEE/ACM Transactions on Audio Speech and Language Processing
  • Unsupervised Music Source Separation Using Differentiable Parametric Source Models, 2023, IEEE/ACM Transactions on Audio Speech and Language Processing
  • Phoneme Level Lyrics Alignment and Text-Informed Singing Voice Separation, 2021, IEEE/ACM Transactions on Audio Speech and Language Processing
  • Video-to-Music Recommendation Using Temporal Alignment of Segments, 2022, IEEE Transactions on Multimedia

Gael Richard has been recognized as an IEEE Fellow since 2017 for contributions to analysis, indexing, and decomposition of audio and music signals.

Best Publications

  • Events Detection for an Audio-Based Surveillance System

    C. Clavel;T. Ehrette;G. Richard

  • Signal Processing for Music Analysis

    M. Muller;D. P. W. Ellis;A. Klapuri;G. Richard

  • Melody Extraction from Polyphonic Music Signals: Approaches, applications, and challenges

    Justin Salamon;Emilia Gomez;Daniel P. W. Ellis;Gael Richard

  • Fast approximated power iteration subspace tracking

    R. Badeau;B. David;G. Richard

  • Source/Filter Model for Unsupervised Main Melody Extraction From Polyphonic Audio Signals

    J.-L. Durrieu;G. Richard;B. David;C. Fevotte

  • Fear-type emotion recognition for future audio-based surveillance systems

    C. Clavel;I. Vasilescu;L. Devillers;G. Richard

  • YAAFE, an Easy to Use and Efficient Audio Feature Extraction Software.

    Benoît Mathieu;Slim Essid;Thomas Fillon;Jacques Prado

  • SPEECHDAT-CAR: a Large Speech Database for Automotive Environments

    Asunción Moreno;Børge Lindberg;Christoph Draxler;Gaël Richard

  • Temporal Integration for Audio Classification With Application to Musical Instrument Classification

    C. Joder;S. Essid;G. Richard

  • Instrument recognition in polyphonic music based on automatic taxonomies

    S. Essid;G. Richard;B. David

  • A Musically Motivated Mid-Level Representation for Pitch Estimation and Musical Audio Source Separation

    J. Durrieu;B. David;G. Richard

  • Musical instrument recognition by pairwise classification strategies

    S. Essid;G. Richard;B. David

  • Transcription and Separation of Drum Signals From Polyphonic Music

    O. Gillet;G. Richard

  • Tempo And Beat Estimation Of Musical Signals.

    Miguel A. Alonso;Gaël Richard;Bertrand David

  • Automatic transcription of drum loops

    O. Gillet;G. Richard

  • Vocal detection in music with support vector machines

    M. Ramona;G. Richard;B. David

  • Gaussian Processes for Underdetermined Source Separation

    Antoine Liutkus;Roland Badeau;Gäel Richard

  • A new perturbation analysis for signal enumeration in rotational invariance techniques

    R. Badeau;B. David;G. Richard

  • Informed source separation through spectrogram coding and data embedding

    Antoine Liutkus;Jonathan Pinel;Roland Badeau;Laurent Girin

  • Methodology and Tools for the evaluation of automatic onset detection algorithms in music.

    Laurent Daudet;Gaël Richard;Pierre Leveau

Frequent Co-Authors

Roland Badeau
Roland Badeau Télécom ParisTech
Bertrand David
Bertrand David Télécom ParisTech
Laurent Daudet
Laurent Daudet Université Paris Cité
James L. Flanagan
James L. Flanagan Rutgers, The State University of New Jersey
Emmanuel Vincent
Emmanuel Vincent University of Lorraine
Laurent Girin
Laurent Girin Grenoble Institute of Technology
Juan Pablo Bello
Juan Pablo Bello New York University
Daniel P. W. Ellis
Daniel P. W. Ellis Google (United States)
Stephen E. Levinson
Stephen E. Levinson University of Illinois at Urbana-Champaign

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