activity
20192022
most citedASVspoof 2021: Automatic Speaker Verification Spoofing and Countermeasures Challenge Evaluation Plan

131 citations · 175 across the 10 of their papers we have counts for

collaborators

17 papers

cs.CL202226 cited

The VoicePrivacy 2020 Challenge Evaluation Plan

Natalia Tomashenko, Brij Mohan Lal Srivastava, Xin Wang +8

The VoicePrivacy Challenge aims to promote the development of privacy preservation tools for speech technology by gathering a new community to define the tasks of interest and the…

cs.SD2022

Exploring auditory acoustic features for the diagnosis of the Covid-19

Madhu R. Kamble, Jose Patino, Maria A. Zuluaga +1

The current outbreak of a coronavirus, has quickly escalated to become a serious global problem that has now been declared a Public Health Emergency of International Concern by the…

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…

cs.CR20212 cited

Benchmarking and challenges in security and privacy for voice biometrics

Jean-Francois Bonastre, Hector Delgado, Nicholas Evans +13

For many decades, research in speech technologies has focused upon improving reliability. With this now meeting user expectations for a range of diverse applications, speech techno…

eess.AS20218 cited

End-to-End Spectro-Temporal Graph Attention Networks for Speaker Verification Anti-Spoofing and Speech Deepfake Detection

Hemlata Tak, Jee-weon Jung, Jose Patino +3

Artefacts that serve to distinguish bona fide speech from spoofed or deepfake speech are known to reside in specific subbands and temporal segments. Various approaches can be used…