activity
20182025
most citedASVspoof 2019: spoofing countermeasures for the detection of synthesized, converted and replayed speech

175 citations · 473 across the 23 of their papers we have counts for

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30 papers · 1 filter

eess.AS20224 cited

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

Hemlata Tak, Massimiliano Todisco, Xin Wang +3

The performance of spoofing countermeasure systems depends fundamentally upon the use of sufficiently representative training data. With this usually being limited, current solutio…

eess.AS2022

A Practical Guide to Logical Access Voice Presentation Attack Detection

Xin Wang, Junichi Yamagishi

Voice-based human-machine interfaces with an automatic speaker verification (ASV) component are commonly used in the market. However, the threat from presentation attacks is also g…

eess.AS2021

ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection

Junichi Yamagishi, Xin Wang, Massimiliano Todisco +8

ASVspoof 2021 is the forth edition in the series of bi-annual challenges which aim to promote the study of spoofing and the design of countermeasures to protect automatic speaker v…

eess.AS2021131 cited

ASVspoof 2021: Automatic Speaker Verification Spoofing and Countermeasures Challenge Evaluation Plan

Héctor Delgado, Nicholas Evans, Tomi Kinnunen +8

The automatic speaker verification spoofing and countermeasures (ASVspoof) challenge series is a community-led initiative which aims to promote the consideration of spoofing and th…

eess.AS2021

An Initial Investigation for Detecting Partially Spoofed Audio

Lin Zhang, Xin Wang, Erica Cooper +3

All existing databases of spoofed speech contain attack data that is spoofed in its entirety. In practice, it is entirely plausible that successful attacks can be mounted with utte…

eess.AS2021

A Comparative Study on Recent Neural Spoofing Countermeasures for Synthetic Speech Detection

Xin Wang, Junich Yamagishi

A great deal of recent research effort on speech spoofing countermeasures has been invested into back-end neural networks and training criteria. We contribute to this effort with a…