Speaker-Aware Anti-Spoofing. (arXiv:2303.01126v1 [cs.SD])

We address speaker-aware anti-spoofing, where prior knowledge of the target
speaker is incorporated into a voice spoofing countermeasure (CM). In contrast
to the frequently used speaker-independent solutions, we train the CM in a
speaker-conditioned way. As a proof of concept, we consider speaker-aware
extension to the state-of-the-art AASIST (audio anti-spoofing using integrated
spectro-temporal graph attention networks) model. To this end, we consider two
alternative strategies to incorporate target speaker information at the frame
and utterance levels, respectively. The experimental results …

address art attention audio aware concept end extension information knowledge networks solutions spoofing state target temporal train voice