Journal ArticleDOI
Constant Q cepstral coefficients
TLDR
An approach which combines speech signal analysis using the constant Q transform with traditional cepstral processing and results show that CQCC configuration is sensitive to the general form of spoofing attack and use case scenario suggests that the past single-system pursuit of generalised spoofing detection may need rethinking.About:
This article is published in Computer Speech & Language.The article was published on 2017-09-01. It has received 327 citations till now. The article focuses on the topics: Spoofing attack & Constant Q transform.read more
Citations
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Proceedings ArticleDOI
The ASVspoof 2017 Challenge: Assessing the Limits of Replay Spoofing Attack Detection
Tomi Kinnunen,Md. Sahidullah,Héctor Delgado,Massimiliano Todisco,Nicholas Evans,Junichi Yamagishi,Kong Aik Lee +6 more
TL;DR: ASVspoof 2017, the second in the series, focused on the development of replay attack countermeasures and indicates that the quest for countermeasures which are resilient in the face of variable replay attacks remains very much alive.
Proceedings ArticleDOI
ASVspoof 2019: Future horizons in spoofed and fake audio detection
Massimiliano Todisco,Xin Wang,Ville Vestman,Sahidullah,Héctor Delgado,Andreas Nautsch,Junichi Yamagishi,Nicholas Evans,Tomi Kinnunen,Kong Aik Lee +9 more
TL;DR: The 2019 database, protocols and challenge results are described, and major findings which demonstrate the real progress made in protecting against the threat of spoofing and fake audio are outlined.
Journal ArticleDOI
ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech
Xin Wang,Junichi Yamagishi,Junichi Yamagishi,Massimiliano Todisco,Héctor Delgado,Andreas Nautsch,Nicholas Evans,Sahidullah,Ville Vestman,Tomi Kinnunen,Kong Aik Lee,Lauri Juvela,Paavo Alku,Yu-Huai Peng,Hsin-Te Hwang,Yu Tsao,Hsin-Min Wang,Sébastien Le Maguer,Markus Becker,Fergus Henderson,Robert A. J. Clark,Yu Zhang,Quan Wang,Ye Jia,Kai Onuma,Koji Mushika,Takashi Kaneda,Yuan Jiang,Li-Juan Liu,Yi-Chiao Wu,Wen-Chin Huang,Tomoki Toda,Kou Tanaka,Hirokazu Kameoka,Ingmar Steiner,Driss Matrouf,Jean-François Bonastre,Avashna Govender,Srikanth Ronanki,Jing-Xuan Zhang,Zhen-Hua Ling +40 more
TL;DR: The ASVspoof challenge as mentioned in this paper was created to foster research on anti-spoofing and to provide common platforms for the assessment and comparison of spoofing countermeasures, and the first edition focused on replay spoofing attacks and countermeasures.
Proceedings ArticleDOI
ASVspoof 2017 Version 2.0: meta-data analysis and baseline enhancements
Héctor Delgado,Massimiliano Todisco,Sahidullah,Nicholas Evans,Tomi Kinnunen,Kong Aik Lee,Junichi Yamagishi +6 more
TL;DR: This paper describes Version 2.0 of the ASVspoof 2017 database which was released to correct data anomalies detected post-evaluation and contains as-yet unpublished meta-data which describes recording and playback devices and acoustic environments which support the analysis of replay detection performance and limits.
References
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