Biometric data contains distinctive human traits such as facial features...
Benchmarking initiatives support the meaningful comparison of competing
...
The VoicePrivacy Challenge aims to promote the development of privacy
pr...
The current outbreak of a coronavirus, has quickly escalated to become a...
This paper introduces RawBoost, a data boosting and augmentation method ...
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...
Artefacts that serve to distinguish bona fide speech from spoofed or dee...
The COVID-19 pandemic has led to the saturation of public health service...
The cues needed to detect spoofing attacks against automatic speaker
ver...
This paper reports the first successful application of a differentiable
...
All existing databases of spoofed speech contain attack data that is spo...
Since early 2020 the COVID-19 pandemic has had a considerable impact on ...
Anonymisation has the goal of manipulating speech signals in order to de...
Biometric systems are nowadays employed across a broad range of applicat...
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...
This paper describes the speaker diarization systems developed for the S...
In many voice biometrics applications there is a requirement to preserve...
The I4U consortium was established to facilitate a joint entry to NIST
s...