4 papers
PhiNet: Speaker Verification with Phonetic Interpretability
Yi Ma, Shuai Wang, Tianchi Liu +1
Despite remarkable progress, automatic speaker verification (ASV) systems typically lack the transparency required for high-accountability applications. Motivated by how human expe…
ExPO: Explainable Phonetic Trait-Oriented Network for Speaker Verification
Yi Ma, Shuai Wang, Tianchi Liu +1
In speaker verification, we use computational method to verify if an utterance matches the identity of an enrolled speaker. This task is similar to the manual task of forensic voic…
How Do Neural Spoofing Countermeasures Detect Partially Spoofed Audio?
Tianchi Liu, Lin Zhang, Rohan Kumar Das +3
Partially manipulating a sentence can greatly change its meaning. Recent work shows that countermeasures (CMs) trained on partially spoofed audio can effectively detect such spoofi…
Gradient weighting for speaker verification in extremely low Signal-to-Noise Ratio
Yi Ma, Kong Aik Lee, Ville Hautamäki +2
Speaker verification is hampered by background noise, particularly at extremely low Signal-to-Noise Ratio (SNR) under 0 dB. It is difficult to suppress noise without introducing un…