World's Best Scientists 2026 revealed!
Emmanuel Vincent

Emmanuel Vincent

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Computer Science
France
2025

D-Index & Metrics

Computer Science

D-Index
60
Citations
18055
World Ranking
3196
National Ranking
51

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

Overview

Emmanuel Vincent is affiliated with the University of Lorraine in France and primarily works in the field of Computer Science. Their research spans several subfields, including Artificial Intelligence, Signal Processing, Electrical and Electronic Engineering, General Health Professions, and Atomic and Molecular Physics, and Optics.

Their main areas of focus involve topics such as Speech Recognition and Synthesis, Speech and Audio Processing, Music and Audio Processing, Natural Language Processing Techniques, Advancements in Semiconductor Devices and Circuit Design, Hate Speech and Cyberbullying Detection, and Semiconductor Materials and Devices.

Emmanuel Vincent has a significant publication record, especially in venues like arXiv (Cornell University), IEEE/ACM Transactions on Audio Speech and Language Processing, Computer Speech & Language, Zenodo (CERN European Organization for Nuclear Research), and HAL (Le Centre pour la Communication Scientifique Directe).

  • LibriMix: An Open-Source Dataset for Generalizable Speech Separation (2020, arXiv (Cornell University))
  • CHiME-6 Challenge:Tackling Multispeaker Speech Recognition for Unsegmented Recordings (2020, arXiv (Cornell University))
  • Asteroid: the PyTorch-based audio source separation toolkit for researchers (2020, arXiv (Cornell University))
  • Privacy and Utility of X-Vector Based Speaker Anonymization (2022, IEEE/ACM Transactions on Audio Speech and Language Processing)
  • Front and back channels coupling and transport on 28 nm FD-SOI MOSFETs down to liquid-He temperature (2021, Solid-State Electronics)

Collaboration appears to be a significant aspect of Emmanuel Vincent's research, with frequent co-authors including Natalia Tomashenko, Brij Mohan Lal Srivastava, Junichi Yamagishi, Antoine Deleforge, and Mohamed Maouche. These collaborations are reflected in joint publications across various topics and venues.

Best Publications

  • Performance measurement in blind audio source separation

    E. Vincent;R. Gribonval;C. Fevotte

  • The third ‘CHiME’ speech separation and recognition challenge: Dataset, task and baselines

    Jon Barker;Ricard Marxer;Emmanuel Vincent;Shinji Watanabe

  • Speech Enhancement with LSTM Recurrent Neural Networks and its Application to Noise-Robust ASR

    Felix Weninger;Hakan Erdogan;Shinji Watanabe;Emmanuel Vincent

  • A Consolidated Perspective on Multimicrophone Speech Enhancement and Source Separation

    Sharon Gannot;Emmanuel Vincent;Shmulik Markovich-Golan;Alexey Ozerov

  • Under-Determined Reverberant Audio Source Separation Using a Full-Rank Spatial Covariance Model

    Ngoc Q K Duong;Emmanuel Vincent;Rémi Gribonval

  • DCASE 2017 challenge setup: tasks, datasets and baseline system

    Annamaria Mesaros;Toni Heittola;Aleksandr Diment;Benjamin Martinez Elizalde

  • Subjective and Objective Quality Assessment of Audio Source Separation

    V. Emiya;E. Vincent;N. Harlander;V. Hohmann

  • The Diverse Environments Multi-channel Acoustic Noise Database (DEMAND): A database of multichannel environmental noise recordings

    Joachim Thiemann;Nobutaka Ito;Emmanuel Vincent

  • An analysis of environment, microphone and data simulation mismatches in robust speech recognition

    Emmanuel Vincent;Shinji Watanabe;Aditya Arie Nugraha;Jon Barker

  • A General Flexible Framework for the Handling of Prior Information in Audio Source Separation

    A. Ozerov;E. Vincent;F. Bimbot

  • Multichannel Audio Source Separation With Deep Neural Networks

    Aditya Arie Nugraha;Antoine Liutkus;Emmanuel Vincent

  • The second ‘chime’ speech separation and recognition challenge: Datasets, tasks and baselines

    Emmanuel Vincent;Jon Barker;Shinji Watanabe;Jonathan Le Roux

  • Adaptive Harmonic Spectral Decomposition for Multiple Pitch Estimation

    E. Vincent;N. Bertin;R. Badeau

  • CHiME-6 Challenge: Tackling multispeaker speech recognition for unsegmented recordings

    Shinji Watanabe;Michael Mandel;Jon Barker;Emmanuel Vincent

  • The Fifth 'CHiME' Speech Separation and Recognition Challenge: Dataset, Task and Baselines.

    Jon Barker;Shinji Watanabe;Emmanuel Vincent;Jan Trmal

  • First stereo audio source separation evaluation campaign: data, algorithms and results

    Emmanuel Vincent;Hiroshi Sawada;Pau Bofill;Shoji Makino

  • The PASCAL CHiME speech separation and recognition challenge

    Jon Barker;Emmanuel Vincent;Ning Ma;Heidi Christensen

  • BSS_EVAL Toolbox User Guide -- Revision 2.0

    Cédric Févotte;Rémi Gribonval;Emmanuel Vincent

  • Enforcing Harmonicity and Smoothness in Bayesian Non-Negative Matrix Factorization Applied to Polyphonic Music Transcription

    N. Bertin;R. Badeau;E. Vincent

  • Audio source separation and speech enhancement

    Emmanuel Vincent;Tuomas Virtanen;Sharon Gannot

  • Multi-source TDOA estimation in reverberant audio using angular spectra and clustering

    Charles Blandin;Alexey Ozerov;Emmanuel Vincent

  • LibriMix: An Open-Source Dataset for Generalizable Speech Separation

    Joris Cosentino;Manuel Pariente;Samuele Cornell;Antoine Deleforge

Frequent Co-Authors

Rémi Gribonval
Rémi Gribonval École Normale Supérieure de Lyon
Frédéric Bimbot
Frédéric Bimbot French Institute for Research in Computer Science and Automation - INRIA
Mark D. Plumbley
Mark D. Plumbley King's College London
Shigeki Sagayama
Shigeki Sagayama University of Tokyo
Jon Barker
Jon Barker University of Sheffield
Nobutaka Ono
Nobutaka Ono Tokyo Metropolitan University
Shinji Watanabe
Shinji Watanabe Carnegie Mellon University
Roland Badeau
Roland Badeau Télécom ParisTech
Jonathan Le Roux
Jonathan Le Roux Mitsubishi Electric (United States)
Cédric Févotte
Cédric Févotte Toulouse Institute of Computer Science Research

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