Presentation attack (spoofing) detection (PAD) typically operates alongs...
Benchmarking initiatives support the meaningful comparison of competing
...
Increasing use of our biometrics (e.g., fingerprints, faces, or voices) ...
The VoicePrivacy Challenge aims to promote the development of privacy
pr...
Attribute-driven privacy aims to conceal a single user's attribute, cont...
This paper presents the results and analyses stemming from the first
Voi...
ASVspoof 2021 is the forth edition in the series of bi-annual challenges...
The automatic speaker verification spoofing and countermeasures (ASVspoo...
For many decades, research in speech technologies has focused upon impro...
Whether it be for results summarization, or the analysis of classifier
f...
The ASVspoof initiative was conceived to spearhead research in anti-spoo...
Anonymisation has the goal of manipulating speech signals in order to de...
The proliferation of speech technologies and rising privacy legislation ...
Recent years have seen growing efforts to develop spoofing countermeasur...
The threat of spoofing can pose a risk to the reliability of automatic
s...
Mounting privacy legislation calls for the preservation of privacy in sp...
The VoicePrivacy initiative aims to promote the development of privacy
p...
Anti-spoofing for automatic speaker verification is now a well establish...
Automatic speaker verification (ASV) is one of the most natural and
conv...
Privacy preservation and the protection of speech data is in high demand...
In many voice biometrics applications there is a requirement to preserve...
ASVspoof, now in its third edition, is a series of community-led challen...
Data privacy is crucial when dealing with biometric data. Accounting for...