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cs.SD2025
Exploiting Context-dependent Duration Features for Voice Anonymization Attack Systems
Natalia Tomashenko, Emmanuel Vincent, Marc Tommasi
The temporal dynamics of speech, encompassing variations in rhythm, intonation, and speaking rate, contain important and unique information about speaker identity. This paper propo…
cs.SD2025
Adapting General Disentanglement-Based Speaker Anonymization for Enhanced Emotion Preservation
Xiaoxiao Miao, Yuxiang Zhang, Xin Wang +3
A general disentanglement-based speaker anonymization system typically separates speech into content, speaker, and prosody features using individual encoders. This paper explores h…