World's Best Scientists 2026 revealed!
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Computer Science
Japan
2026

D-Index & Metrics

Computer Science

D-Index
76
Citations
25369
World Ranking
1334
National Ranking
7

Research.com Recognitions

  • 2026 - Research.com Computer Science in Japan Leader Award
  • 2025 - Research.com Computer Science in Japan Leader Award
  • 2022 - Research.com Computer Science in Japan Leader Award

Overview

Junichi Yamagishi is affiliated with the National Institute of Informatics in Japan. Their research primarily spans the field of Computer Science with a strong focus on Artificial Intelligence and Signal Processing. Additional subfields within their work include Computer Vision and Pattern Recognition, Physiology, and Biomedical Engineering.

The main topics Junichi Yamagishi has addressed in their research include:

  • Speech Recognition and Synthesis
  • Speech and Audio Processing
  • Music and Audio Processing
  • Natural Language Processing Techniques
  • Topic Modeling
  • Digital Media Forensic Detection
  • Face recognition and analysis

Frequent publication venues for Yamagishi include:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • Computer Speech & Language
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

The scientist has authored papers such as:

  • ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech (2020, Computer Speech & Language)
  • An Overview of Voice Conversion and Its Challenges: From Statistical Modeling to Deep Learning (2020, IEEE/ACM Transactions on Audio Speech and Language Processing)
  • 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))
  • Generalization Ability of MOS Prediction Networks (2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP))

Frequent collaborators in their work include Erica Cooper, Xin Wang, Isao Echizen, Tomi Kinnunen, and Nicholas Evans. These collaborations have supported research output across the areas of audio processing and speech technologies.

Best Publications

  • MesoNet: a Compact Facial Video Forgery Detection Network

    Darius Afchar;Vincent Nozick;Junichi Yamagishi;Isao Echizen

  • Capsule-forensics: Using Capsule Networks to Detect Forged Images and Videos

    Huy H. Nguyen;Junichi Yamagishi;Isao Echizen

  • Spoofing and countermeasures for speaker verification

    Zhizheng Wu;Nicholas Evans;Tomi Kinnunen;Junichi Yamagishi

  • The HMM-based speech synthesis system (HTS) version 2.0.

    Heiga Zen;Takashi Nose;Junichi Yamagishi;Shinji Sako

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

    Massimiliano Todisco;Xin Wang;Ville Vestman;Sahidullah

  • SUPERSEDED - CSTR VCTK Corpus: English Multi-speaker Corpus for CSTR Voice Cloning Toolkit

    Christophe Veaux;Junichi Yamagishi;Kirsten MacDonald

  • Speech Synthesis Based on Hidden Markov Models

    K. Tokuda;Y. Nankaku;T. Toda;H. Zen

  • 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

  • Multi-task Learning for Detecting and Segmenting Manipulated Facial Images and Videos

    Huy H. Nguyen;Fuming Fang;Junichi Yamagishi;Isao Echizen

  • Investigating RNN-based speech enhancement methods for noise-robust Text-to-Speech

    Cassia Valentini-Botinhao;Xin Wang;Shinji Takaki;Junichi Yamagishi

  • Analysis of Speaker Adaptation Algorithms for HMM-Based Speech Synthesis and a Constrained SMAPLR Adaptation Algorithm

    J. Yamagishi;T. Kobayashi;Y. Nakano;K. Ogata

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

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

  • The voice bank corpus: Design, collection and data analysis of a large regional accent speech database

    Christophe Veaux;Junichi Yamagishi;Simon King

  • CSTR VCTK Corpus: English Multi-speaker Corpus for CSTR Voice Cloning Toolkit (version 0.92)

    Junichi Yamagishi;Christophe Veaux;Kirsten MacDonald

  • Distinguishing computer graphics from natural images using convolution neural networks

    Nicolas Rahmouni;Vincent Nozick;Junichi Yamagishi;Isao Echizen

  • The Voice Conversion Challenge 2018: Promoting Development of Parallel and Nonparallel Methods

    Jaime Lorenzo-Trueba;Junichi Yamagishi;Tomoki Toda;Daisuke Saito

  • An Overview of Voice Conversion and Its Challenges: From Statistical Modeling to Deep Learning

    Berrak Sisman;Junichi Yamagishi;Simon King;Haizhou Li

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

    Junichi Yamagishi;Xin Wang;Massimiliano Todisco;Sahidullah

  • HMM-Based Speech Synthesis Utilizing Glottal Inverse Filtering

    T Raitio;A Suni;J Yamagishi;H Pulakka

  • Proceedings of the Institute of Acoustics 2014

    Cassia Valentini Botinhao;Junichi Yamagishi;Simon King

  • Spoofing and countermeasures for speaker verification: a sur vey

    Zhizheng Wu;Nicholas Evans;Tomi Kinnunen;Junichi Yamagishi

Frequent Co-Authors

Tomi Kinnunen
Tomi Kinnunen University of Eastern Finland
Keiichi Tokuda
Keiichi Tokuda Nagoya Institute of Technology
Takao Kobayashi
Takao Kobayashi Tokyo Institute of Technology
Zhen-Hua Ling
Zhen-Hua Ling University of Science and Technology of China
Tomoki Toda
Tomoki Toda Nagoya University
Zhizheng Wu
Zhizheng Wu Chinese University of Hong Kong, Shenzhen
Takashi Masuko
Takashi Masuko Preferred Networks, Inc.
Paavo Alku
Paavo Alku Aalto University
Heiga Zen
Heiga Zen Google (United States)

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