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Marc Delcroix

Marc Delcroix

D-Index & Metrics

Computer Science

D-Index
41
Citations
6955
World Ranking
8852
National Ranking
124

Overview

Marc Delcroix is affiliated with NTT (Japan) and has a focus on research in computer science, particularly in signal processing and artificial intelligence. Their work primarily addresses speech recognition and synthesis, speech and audio processing, as well as music and audio processing.

Their research spans several subfields including signal processing, artificial intelligence, computational mechanics, oceanography, and electrical and electronic engineering.

Delcroix's recent contributions include publications in well-known venues such as arXiv (Cornell University), Interspeech 2022, ICASSP 2022, IEEE/ACM Transactions on Audio Speech and Language Processing, and IEEE Signal Processing Magazine.

  • Far-Field Automatic Speech Recognition, 2020, Proceedings of the IEEE
  • Neural Target Speech Extraction: An overview, 2023, IEEE Signal Processing Magazine
  • How bad are artifacts?: Analyzing the impact of speech enhancement errors on ASR, 2022, Interspeech 2022
  • End-to-End Dereverberation, Beamforming, and Speech Recognition with Improved Numerical Stability and Advanced Frontend, 2021, arXiv (Cornell University)
  • SoundBeam: Target Sound Extraction Conditioned on Sound-Class Labels and Enrollment Clues for Increased Performance and Continuous Learning, 2022, IEEE/ACM Transactions on Audio Speech and Language Processing

Frequent coauthors include Tsubasa Ochiai, Shoko Araki, Keisuke Kinoshita, Tomohiro Nakatani, and Takafumi Moriya, reflecting a collaborative approach within the research community.

The main publication venues where Delcroix has contributed multiple works include:

  • arXiv (Cornell University)
  • Interspeech 2022
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • IEEE Signal Processing Magazine

The topics covered in Delcroix's research are concentrated on speech recognition and synthesis, speech and audio processing, and music and audio processing. Additional interests involve natural language processing techniques, topic modeling, advanced adaptive filtering techniques, and speech and dialogue systems.

Best Publications

  • The reverb challenge: Acommon evaluation framework for dereverberation and recognition of reverberant speech

    Keisuke Kinoshita;Marc Delcroix;Takuya Yoshioka;Tomohiro Nakatani

  • A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research

    Keisuke Kinoshita;Marc Delcroix;Sharon Gannot;Emanuël A. P. Habets

  • Making Machines Understand Us in Reverberant Rooms: Robustness Against Reverberation for Automatic Speech Recognition

    Takuya Yoshioka;A. Sehr;M. Delcroix;K. Kinoshita

  • The NTT CHiME-3 system: Advances in speech enhancement and recognition for mobile multi-microphone devices

    Takuya Yoshioka;Nobutaka Ito;Marc Delcroix;Atsunori Ogawa

  • Suppression of Late Reverberation Effect on Speech Signal Using Long-Term Multiple-step Linear Prediction

    K. Kinoshita;M. Delcroix;T. Nakatani;M. Miyoshi

  • SpeakerBeam: Speaker Aware Neural Network for Target Speaker Extraction in Speech Mixtures

    Katerina Zmolikova;Marc Delcroix;Keisuke Kinoshita;Tsubasa Ochiai

  • Improving transformer-based end-to-end speech recognition with connectionist temporal classification and language model integration

    Shigeki Karita;Nelson Enrique Yalta Soplin;Shinji Watanabe;Marc Delcroix

  • Single Channel Target Speaker Extraction and Recognition with Speaker Beam

    Marc Delcroix;Katerina Zmolikova;Keisuke Kinoshita;Atsunori Ogawa

  • Speaker-Aware Neural Network Based Beamformer for Speaker Extraction in Speech Mixtures.

    Kateřina Žmolíková;Marc Delcroix;Keisuke Kinoshita;Takuya Higuchi

  • Speech Enhancement Using Self-Adaptation and Multi-Head Self-Attention

    Yuma Koizumi;Kohei Yatabe;Marc Delcroix;Yoshiki Masuyama

  • Improving Speaker Discrimination of Target Speech Extraction With Time-Domain Speakerbeam

    Marc Delcroix;Tsubasa Ochiai;Katerina Zmolikova;Keisuke Kinoshita

  • Exploring multi-channel features for denoising-autoencoder-based speech enhancement

    Shoko Araki;Tomoki Hayashi;Marc Delcroix;Masakiyo Fujimoto

  • Precise Dereverberation Using Multichannel Linear Prediction

    M. Delcroix;T. Hikichi;M. Miyoshi

  • Online MVDR Beamformer Based on Complex Gaussian Mixture Model With Spatial Prior for Noise Robust ASR

    Takuya Higuchi;Nobutaka Ito;Shoko Araki;Takuya Yoshioka

  • Inverse filtering for speech dereverberation less sensitive to noise and room transfer function fluctuations

    Takafumi Hikichi;Marc Delcroix;Masato Miyoshi

  • Neural Network-Based Spectrum Estimation for Online WPE Dereverberation.

    Keisuke Kinoshita;Marc Delcroix;Haeyong Kwon;Takuma Mori

  • Neural Target Speech Extraction: An overview

    Unknown

  • Far-Field Automatic Speech Recognition

    Reinhold Haeb-Umbach;Jahn Heymann;Lukas Drude;Shinji Watanabe

  • Improving Noise Robust Automatic Speech Recognition with Single-Channel Time-Domain Enhancement Network

    Keisuke Kinoshita;Tsubasa Ochiai;Marc Delcroix;Tomohiro Nakatani

  • All-neural Online Source Separation, Counting, and Diarization for Meeting Analysis

    Thilo von Neumann;Keisuke Kinoshita;Marc Delcroix;Shoko Araki

  • How Bad Are Artifacts?: Analyzing the Impact of Speech Enhancement Errors on ASR

    Unknown

  • Listening to Each Speaker One by One with Recurrent Selective Hearing Networks

    Keisuke Kinoshita;Lukas Drude;Marc Delcroix;Tomohiro Nakatani

  • Static and Dynamic Variance Compensation for Recognition of Reverberant Speech With Dereverberation Preprocessing

    M. Delcroix;T. Nakatani;S. Watanabe

Frequent Co-Authors

Shoko Araki
Shoko Araki NTT (Japan)
Takuya Yoshioka
Takuya Yoshioka Microsoft (United States)
Shinji Watanabe
Shinji Watanabe Carnegie Mellon University
Reinhold Haeb-Umbach
Reinhold Haeb-Umbach University of Paderborn
Yanmin Qian
Yanmin Qian Shanghai Jiao Tong University
Walter Kellermann
Walter Kellermann University of Erlangen-Nuremberg
Lukas Burget
Lukas Burget Brno University of Technology
Nobutaka Ono
Nobutaka Ono Tokyo Metropolitan University

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