| 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 | 1160 | 2018 |
| 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 | 698 | 2007 |
| 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 | 667 | 2015 |
| 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 | 561 | 2013 |
| 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 | 542* | 2015 |
| 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 | 531 | 2019 |
| 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 | 512 | 2019 |
| The ASVspoof 2017 challenge: Assessing the limits of replay spoofing attack detection T Kinnunen, M Sahidullah, H Delgado, M Todisco, N Evans, J Yamagishi, ... ISCA (the International Speech Communication Association), 2017 | 467 | 2017 |
| 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 | 434 | 2009 |
| 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 | 430 | 2009 |
| 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 | 429* | 2012 |
| 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 | 407 | 2019 |
| 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 | 345 | 2016 |
| 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 | 332 | 2018 |
| 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 | 326 | 2013 |
| 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 | 299* | 2017 |
| HMM-based speech synthesis utilizing glottal inverse filtering T Raitio, A Suni, J Yamagishi, H Pulakka, J Nurminen, M Vainio, P Alku IEEE transactions on audio, speech, and language processing 19 (1), 153-165, 2010 | 278 | 2010 |
| 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 | 274 | 2012 |
| Average-voice-based speech synthesis using HSMM-based speaker adaptation and adaptive training J Yamagishi, T Kobayashi IEICE TRANSACTIONS on Information and Systems 90 (2), 533-543, 2007 | 257 | 2007 |
| 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 | 251 | 2020 |
Simon KingProfessor of Speech Processing, University of EdinburghEmail confirmado em ed.ac.uk
