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Nicholas Evans

Nicholas Evans

D-Index & Metrics

Computer Science

D-Index
55
Citations
12054
World Ranking
4317
National Ranking
84

Overview

Nicholas Evans is affiliated with EURECOM in France and specializes in research within the field of Computer Science, with particular focus on Artificial Intelligence and Signal Processing. Their work encompasses subfields including Computer Vision and Pattern Recognition, Neurology, and Genetics. The scientist's research topics cover a range of areas in audio and speech technology, namely Speech Recognition and Synthesis, Speech and Audio Processing, Music and Audio Processing, Natural Language Processing Techniques, Digital Media Forensic Detection, Hate Speech and Cyberbullying Detection, and Biometric Identification and Security.

Nicholas Evans has contributed to several recent papers published between 2020 and 2023. Notable publications include:

  • "ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech" (2020, Computer Speech & Language)
  • "ASVspoof 2021: Towards Spoofed and Deepfake Speech Detection in the Wild" (2023, IEEE/ACM Transactions on Audio Speech and Language Processing)
  • "ASVspoof 2021: Automatic Speaker Verification Spoofing and Countermeasures Challenge Evaluation Plan" (2021, arXiv (Cornell University))
  • "Tandem Assessment of Spoofing Countermeasures and Automatic Speaker Verification: Fundamentals" (2020, IEEE/ACM Transactions on Audio Speech and Language Processing)
  • "Research priorities to improve stroke outcomes" (2022, The Lancet Neurology)

The scientist has collaborated frequently with other researchers such as Massimiliano Todisco, Junichi Yamagishi, José Patino, Hemlata Tak, and Xin Wang.

They have a substantial record of publishing in venues such as arXiv (Cornell University), Computer Speech & Language, IEEE/ACM Transactions on Audio Speech and Language Processing, British Journal of Surgery, and HAL (Le Centre pour la Communication Scientifique Directe).

Nicholas Evans has also contributed to book publications, including one titled Handbook of Biometric Anti-Spoofing published in 2023 by Springer International Publishing.

Best Publications

  • Speaker Diarization: A Review of Recent Research

    Xavier Anguera Miro;S. Bozonnet;N. Evans;C. Fredouille

  • Spoofing and countermeasures for speaker verification

    Zhizheng Wu;Nicholas Evans;Tomi Kinnunen;Junichi Yamagishi

  • ASVspoof 2019: Future horizons in spoofed and fake audio detection

    Massimiliano Todisco;Xin Wang;Ville Vestman;Sahidullah

  • ASVspoof 2015: the First Automatic Speaker Verification Spoofing and Countermeasures Challenge

    Zhizheng Wu;Tomi Kinnunen;Nicholas W. D. Evans;Junichi Yamagishi

  • The ASVspoof 2017 Challenge: Assessing the Limits of Replay Spoofing Attack Detection

    Tomi Kinnunen;Md. Sahidullah;Héctor Delgado;Massimiliano Todisco

  • Constant Q cepstral coefficients

    Massimiliano Todisco;Hctor Delgado;Nicholas Evans

  • ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech

    Xin Wang;Junichi Yamagishi;Junichi Yamagishi;Massimiliano Todisco;Héctor Delgado

  • A new feature for automatic speaker verification anti-spoofing: Constant Q cepstral coefficients

    Massimiliano Todisco;Héctor Delgado;Nicholas W. D. Evans

  • ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection

    Junichi Yamagishi;Xin Wang;Massimiliano Todisco;Sahidullah

  • End-to-End anti-spoofing with RawNet2

    Hemlata Tak;Jose Patino;Massimiliano Todisco;Andreas Nautsch

  • AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph Attention Networks

    Jee-weon Jung;Hee-Soo Heo;Hemlata Tak;Hye-jin Shim

  • ASVspoof 2021: Towards Spoofed and Deepfake Speech Detection in the Wild

    Unknown

  • Biometrics Systems Under Spoofing Attack: An evaluation methodology and lessons learned

    Abdenour Hadid;Nicholas W. D. Evans;Sébastien Marcel;Julian Fiérrez

  • ASVspoof 2019: Spoofing Countermeasures for the Detection of Synthesized, Converted and Replayed Speech

    Andreas Nautsch;Xin Wang;Nicholas Evans;Tomi H. Kinnunen

  • ASVspoof: The Automatic Speaker Verification Spoofing and Countermeasures Challenge

    Zhizheng Wu;Junichi Yamagishi;Tomi Kinnunen;Cemal Hanilci

  • Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentation

    Unknown

  • Spoofing and countermeasures for automatic speaker verification

    Nicholas W. D. Evans;Tomi Kinnunen;Junichi Yamagishi

  • ASVspoof 2017 Version 2.0: meta-data analysis and baseline enhancements

    Héctor Delgado;Massimiliano Todisco;Sahidullah;Nicholas Evans

  • t-DCF: a Detection Cost Function for the Tandem Assessment of Spoofing Countermeasures and Automatic Speaker Verification

    Tomi Kinnunen;Kong Aik Lee;Hector Delgado;Nicholas Evans

  • End-to-End Spectro-Temporal Graph Attention Networks for Speaker Verification Anti-Spoofing and Speech Deepfake Detection

    Hemlata Tak;Jee-weon Jung;Jose Patino;Madhu R. Kamble

  • ALIZE/SpkDet: a state-of-the-art open source software for speaker recognition

    Jean-François Bonastre;Nicolas Scheffer;Driss Matrouf;Corinne Fredouille

  • RedDots replayed: A new replay spoofing attack corpus for text-dependent speaker verification research

    Tomi Kinnunen;Sahidullah;Mauro Falcone;Luca Costantini

  • Spoofing and countermeasures for speaker verification: a sur vey

    Zhizheng Wu;Nicholas Evans;Tomi Kinnunen;Junichi Yamagishi

Frequent Co-Authors

Junichi Yamagishi
Junichi Yamagishi National Institute of Informatics
Tomi Kinnunen
Tomi Kinnunen University of Eastern Finland
Jean-François Bonastre
Jean-François Bonastre University of Avignon
Dong Wang
Dong Wang Dalian University of Technology
Zhizheng Wu
Zhizheng Wu Chinese University of Hong Kong, Shenzhen
Emmanuel Vincent
Emmanuel Vincent University of Lorraine
Björn Schuller
Björn Schuller Imperial College London
Sébastien Marcel
Sébastien Marcel Idiap Research Institute

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