2025
Why disentanglement-based speaker anonymization systems fail at preserving emotions?
ICASSP 2025accepted
Disentanglement-based speaker anonymization involves decomposing speech into a semantically meaningful representation, altering the speaker embedding, and resynthesizing a waveform using a neural vocoder. State-of-the-art systems of this kind are known to remove emotion information. Possible reasons…