Artefacts that differentiate spoofed from bona-fide utterances can reside in specific temporal
or spectral intervals. Their reliable detection usually depends upon computationally …

The first spoofing-aware speaker verification (SASV) challenge aims to integrate research
efforts in speaker verification and anti-spoofing. We extend the speaker verification scenario …

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 …

The performance of automatic speaker verification (ASV) systems could be degraded by
voice spoofing attacks. Most existing works aimed to develop standalone spoofing …

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 …

Research in the past several years has boosted the performance of automatic speaker
verification systems and countermeasure systems to deliver low Equal Error Rates (EERs) …

Deep learning has brought impressive progress in the study of both automatic speaker
verification (ASV) and spoofing countermeasures (CM). Although solutions are mutually …

In this paper, we present our system submitted to the Spoofing Aware Speaker Verification
Challenge (SASVC) 2022. Our submission focuses on bridging the gap between automatic …

Recent years have witnessed the extraordinary development of automatic speaker
verification (ASV). However, previous works show that state-of-the-art ASV models are …

Recently, many novel techniques have been introduced to deal with spoofing attacks, and
achieve promising countermeasure (CM) performances. However, these works only take the …