A speech spoofing countermeasure (CM) that discriminates between unseen spoofed and
bona fide data requires diverse training data. While many datasets use spoofed data …

Spoofing detection is today a mainstream research topic. Standard metrics can be applied to
evaluate the performance of isolated spoofing detection solutions and others have been …

Automatic speaker verification (ASV) systems are vulnerable to spoofing attacks. We
propose a spoofing-robust ASV system optimized directly for the recently introduced …

This paper introduces SpoofCeleb, a dataset designed for Speech Deepfake Detection
(SDD) and Spoofing-robust Automatic Speaker Verification (SASV), utilizing source data …

The current automatic speaker verification (ASV) task involves making binary decisions on
two types of trials: target and non-target. However, emerging advancements in speech …

Advancements in DeepFake (DF) audio models pose a significant threat to voice
authentication systems, leading to unauthorized access and the spread of misinformation …

The increasing sophistication of multimodal interaction systems, which enable human-like
communication, raises concerns regarding the authenticity of exchanged speech data. Our …

Audio watermarking allows for embedding a bitstream in an audio file while ensuring the
introduced alteration remains im-perceptible. Although its primary application has been in …

The increasing sophistication of multimodal interaction sys-tems, which enable human-like
communication, raises concerns regarding the authenticity of exchanged speech data. Our …