2026
ASSESSING THE IMPACT OF SPEAKER IDENTITY IN SPEECH SPOOFING DETECTION
ICASSP 2026poster
Spoofing detection systems are typically trained using diverse recordings from multiple speakers, often assuming that the resulting embeddings are independent of speaker identity. However, this assumption remains unverified. In this paper, we investigate the impact of speaker information on spoofing…