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eess.AS2026
Reducing Speaker Residual by Considering Pinhole Effect in Voice Anonymization
Zeyan Liu, Weili Jiang, Liping Chen +4
Voice anonymization aims to protect privacy by suppressing speaker identity while preserving linguistic content and prosody. However, residual speaker attributes in non-identity re…
eess.AS2026
Dynamic Prosody Prediction in LLM-based TTS for Improving Speaker Similarity
Zhenwei Mou, Liping Chen, Yajun Hu +3
Personalized text-to-speech (TTS) aims to clone the target speaker in the synthesized speech, imitating both the voice and speaking style. Current large language model (LLM)-based…
eess.AS2026
DuraMark: Duration-Embedded Watermarking in LLM-based TTS
Zhenwei Mou, Weili Jiang, Liping Chen +4
Large language model (LLM)-based text-to-speech (TTS) models have achieved remarkable voice cloning capabilities, raising concerns about potential deepfake misuse. Speech watermark…