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Jean-Marc Valin

Jean-Marc Valin

Overview

Jean-Marc Valin is affiliated with Google in the United States and specializes in research within the field of Computer Science, with a primary focus on Signal Processing, Artificial Intelligence, and related subfields. Their work spans several key areas including speech and audio processing, speech recognition and synthesis, music and audio processing, advanced data compression techniques, adaptive filtering techniques, hearing loss and rehabilitation, as well as speech and dialogue systems.

Their body of work features numerous publications across diverse venues. Notable frequent publication venues include:

  • arXiv (Cornell University)
  • Interspeech 2022
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • APSIPA Transactions on Signal and Information Processing
  • IEEE Signal Processing Letters

Recent papers authored or co-authored by Jean-Marc Valin include:

  • "Real-Time Packet Loss Concealment With Mixed Generative and Predictive Model," 2022, Interspeech 2022
  • "An Overview of Coding Tools in AV1: the First Video Codec from the Alliance for Open Media," 2020, APSIPA Transactions on Signal and Information Processing
  • "Improved Singing Voice Separation with Chromagram-Based Pitch-Aware Remixing," 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • "End-to-end LPCNet: A Neural Vocoder With Fully-Differentiable LPC Estimation," 2022, Interspeech 2022
  • "Semi-supervised Time Domain Target Speaker Extraction with Attention," 2022, arXiv (Cornell University)

Jean-Marc Valin collaborates regularly with a team of researchers, including:

  • Arvindh Krishnaswamy
  • Umut Isik
  • Ritwik Giri
  • Paris Smaragdis
  • Ahmed Mustafa

Their work contributes primarily to the development of techniques and technologies related to speech and audio processing and synthesis, emphasizing computational methods that address real-time communication challenges, audio coding, and neural vocoding.

Best Publications

  • Robust sound source localization using a microphone array on a mobile robot

    J.-M. Valin;F. Michaud;J. Rouat;D. Letourneau

  • LPCNET: Improving Neural Speech Synthesis through Linear Prediction

    Jean-Marc Valin;Jan Skoglund

  • Robust localization and tracking of simultaneous moving sound sources using beamforming and particle filtering

    Jean-Marc Valin;François Michaud;Jean Rouat

  • An Overview of Core Coding Tools in the AV1 Video Codec

    Yue Chen;Debargha Murherjee;Jingning Han;Adrian Grange

  • Enhanced robot audition based on microphone array source separation with post-filter

    J.-M. Valin;J. Rouat;F. Michaud

  • Definition of the Opus Audio Codec

    Jean-Marc Valin;Koen Vos

  • Localization of simultaneous moving sound sources for mobile robot using a frequency- domain steered beamformer approach

    J.-M. Valin;F. Michaud;B. Hadjou;J. Rouat

  • A Hybrid DSP/Deep Learning Approach to Real-Time Full-Band Speech Enhancement

    Jean-Marc Valin

  • Code reusability tools for programming mobile robots

    C. Cote;D. Letourneau;F. Michaud;J.-M. Valin

  • High-Quality, Low-Delay Music Coding in the Opus Codec

    Jean-Marc Valin;Gregory Maxwell;Timothy B. Terriberry;Koen Vos

  • Robust 3D Localization and Tracking of Sound Sources Using Beamforming and Particle Filtering

    J.-M. Valin;F. Michaud;J. Rouat

  • Robust Recognition of Simultaneous Speech by a Mobile Robot

    J.-M. Valin;S. Yamamoto;J. Rouat;F. Michaud

  • A High-Quality Speech and Audio Codec With Less Than 10-ms Delay

    J.-M. Valin;T.B. Terriberry;C. Montgomery;G. Maxwell

  • Enhanced Robot Speech Recognition Based on Microphone Array Source Separation and Missing Feature Theory

    S. Yamamoto;J.-M. Valin;J.-M. Valin;K. Nakadai;J. Rouat

  • Autonomous initialization of robot formations

    M. Lemay;F. Michaud;D. Letourneau;J.-M. Valin

  • On Adjusting the Learning Rate in Frequency Domain Echo Cancellation With Double-Talk

    J.-M. Valin

  • Real-Time Robot Audition System That Recognizes Simultaneous Speech in The Real World

    Shun'ichi Yamamoto;Kazuhiro Nakadai;Mikio Nakano;Hiroshi Tsujino

  • Dynamic robot formations using directional visual perception

    F. Michaud;D. Letourneau;M. Guilbert;J.-M. Valin

  • A Real-Time Wideband Neural Vocoder at 1.6 kb/s Using LPCNet

    Jean-Marc Valin;Jan Skoglund

  • PoCoNet: Better Speech Enhancement with Frequency-Positional Embeddings, Semi-Supervised Conversational Data, and Biased Loss

    Umut Isik;Ritwik Giri;Neerad Phansalkar;Jean-Marc Valin

Frequent Co-Authors

François Michaud
François Michaud Université de Sherbrooke
Kazuhiro Nakadai
Kazuhiro Nakadai Tokyo Institute of Technology
Hiroshi G. Okuno
Hiroshi G. Okuno Waseda University
Tetsuya Ogata
Tetsuya Ogata Waseda University
Iain B. Collings
Iain B. Collings Macquarie University
Debargha Mukherjee
Debargha Mukherjee Google (United States)

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