activity
20182024
most citedASVspoof 2019: spoofing countermeasures for the detection of synthesized, converted and replayed speech

175 citations · 810 across the 46 of their papers we have counts for

collaborators
Showing 2020Show all

8 papers · 1 filter

eess.AS2020

Speaker anonymisation using the McAdams coefficient

Jose Patino, Natalia Tomashenko, Massimiliano Todisco +2

Anonymisation has the goal of manipulating speech signals in order to degrade the reliability of automatic approaches to speaker recognition, while preserving other aspects of spee…

eess.AS2020★ 3 cited

End-to-end anti-spoofing with RawNet2

Hemlata Tak, Jose Patino, Massimiliano Todisco +3

Spoofing countermeasures aim to protect automatic speaker verification systems from attempts to manipulate their reliability with the use of spoofed speech signals. While results f…

cs.SD2020

Texture-based Presentation Attack Detection for Automatic Speaker Verification

Lazaro J. Gonzalez-Soler, Jose Patino, Marta Gomez-Barrero +3

Biometric systems are nowadays employed across a broad range of applications. They provide high security and efficiency and, in many cases, are user friendly. Despite these and oth…

eess.AS2020★ 108 cited

Tandem Assessment of Spoofing Countermeasures and Automatic Speaker Verification: Fundamentals

Tomi Kinnunen, Héctor Delgado, Nicholas Evans +8

Recent years have seen growing efforts to develop spoofing countermeasures (CMs) to protect automatic speaker verification (ASV) systems from being deceived by manipulated or artif…

eess.AS2020★ 4 cited

Spoofing Attack Detection using the Non-linear Fusion of Sub-band Classifiers

Hemlata Tak, Jose Patino, Andreas Nautsch +2

The threat of spoofing can pose a risk to the reliability of automatic speaker verification. Results from the bi-annual ASVspoof evaluations show that effective countermeasures dem…

cs.CR2020★ 23 cited

The Privacy ZEBRA: Zero Evidence Biometric Recognition Assessment

Andreas Nautsch, Jose Patino, Natalia Tomashenko +5

Mounting privacy legislation calls for the preservation of privacy in speech technology, though solutions are gravely lacking. While evaluation campaigns are long-proven tools to d…

cs.CL2020★ 100 cited

Introducing the VoicePrivacy Initiative

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

The VoicePrivacy initiative 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…

eess.AS2020★ 4 cited

An explainability study of the constant Q cepstral coefficient spoofing countermeasure for automatic speaker verification

Hemlata Tak, Jose Patino, Andreas Nautsch +2

Anti-spoofing for automatic speaker verification is now a well established area of research, with three competitive challenges having been held in the last 6 years. A great deal of…