Junichi Yamagishi
Cited by
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Mesonet: a compact facial video forgery detection network
D Afchar, V Nozick, J Yamagishi, I Echizen
2018 IEEE international workshop on information forensics and security (WIFS …, 2018
ASVspoof 2015: the First Automatic Speaker Verification Spoofing and Countermeasures Challenge
MSAS Zhizheng Wu, Tomi Kinnunen, Nicholas Evans, Junichi Yamagishi, Cemal Hanilc
Interspeech 2015, 2015
Spoofing and countermeasures for speaker verification: A survey
Z Wu, N Evans, T Kinnunen, J Yamagishi, F Alegre, H Li
speech communication 66, 130-153, 2015
The HMM-based speech synthesis system (HTS) version 2.0.
H Zen, T Nose, J Yamagishi, S Sako, T Masuko, AW Black, K Tokuda
SSW 6, 294-299, 2007
Capsule-forensics: Using capsule networks to detect forged images and videos
HH Nguyen, J Yamagishi, I Echizen
ICASSP 2019-2019 IEEE international conference on acoustics, speech and …, 2019
ASVspoof 2019: Future horizons in spoofed and fake audio detection
M Todisco, X Wang, V Vestman, M Sahidullah, H Delgado, A Nautsch, ...
arXiv preprint arXiv:1904.05441, 2019
Speech synthesis based on hidden Markov models
K Tokuda, Y Nankaku, T Toda, H Zen, J Yamagishi, K Oura
Proceedings of the IEEE 101 (5), 1234-1252, 2013
CSTR VCTK Corpus: English Multi-speaker Corpus for CSTR Voice Cloning Toolkit
C Veaux, J Yamagishi, K MacDonald
University of Edinburgh. The Centre for Speech Technology Research (CSTR), 2012
The ASVspoof 2017 challenge: Assessing the limits of replay spoofing attack detection
T Kinnunen, M Sahidullah, H Delgado, M Todisco, N Evans, J Yamagishi, ...
Interspeech 2017, 2-6, 2017
Multi-task learning for detecting and segmenting manipulated facial images and videos
HH Nguyen, F Fang, J Yamagishi, I Echizen
2019 IEEE 10th international conference on biometrics theory, applications …, 2019
Analysis of speaker adaptation algorithms for HMM-based speech synthesis and a constrained SMAPLR adaptation algorithm
J Yamagishi, T Kobayashi, Y Nakano, K Ogata, J Isogai
IEEE Transactions on Audio, Speech, and Language Processing 17 (1), 66-83, 2009
Investigating RNN-based speech enhancement methods for noise-robust Text-to-Speech.
C Valentini-Botinhao, X Wang, S Takaki, J Yamagishi
SSW, 146-152, 2016
The voice bank corpus: Design, collection and data analysis of a large regional accent speech database
C Veaux, J Yamagishi, S King
2013 international conference oriental COCOSDA held jointly with 2013 …, 2013
The voice conversion challenge 2018: Promoting development of parallel and nonparallel methods
J Lorenzo-Trueba, J Yamagishi, T Toda, D Saito, F Villavicencio, ...
arXiv preprint arXiv:1804.04262, 2018
Distinguishing Computer Graphics from Natural Images Using Convolution Neural Networks
JY Nicolas Rahmouni, Vincent Nozick, Isao Echizen
9th IEEE International Workshop on Information Forensics and Security (WIFS), 2017
An overview of voice conversion and its challenges: From statistical modeling to deep learning
B Sisman, J Yamagishi, S King, H Li
IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 132-157, 2020
ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech
X Wang, J Yamagishi, M Todisco, H Delgado, A Nautsch, N Evans, ...
Computer Speech & Language 64, 101114, 2020
CSTR VCTK Corpus: English multi-speaker corpus for CSTR voice cloning toolkit (version 0.92)
J Yamagishi, C Veaux, K MacDonald
University of Edinburgh. The Centre for Speech Technology Research (CSTR …, 2019
ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection
J Yamagishi, X Wang, M Todisco, M Sahidullah, J Patino, A Nautsch, ...
ASVspoof 2021 Workshop-Automatic Speaker Verification and Spoofing …, 2021
Evaluation of speaker verification security and detection of HMM-based synthetic speech
PL De Leon, M Pucher, J Yamagishi, I Hernaez, I Saratxaga
IEEE Transactions on Audio, Speech, and Language Processing 20 (8), 2280-2290, 2012
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