Zheng-Yan Sheng — accepted AI-conference papers

2025

CASC-XVC: Zero-Shot Cross-Lingual Voice Conversion with Content Accordant and Speaker Contrastive Losses

Han-Jie Guo, Hui-Peng Du, Zheng-Yan Sheng, Li-Ping Chen, Yang Ai, Zhen-Hua Ling

ICASSP 2025accepted

Cross-lingual voice conversion (XVC) is a technology that modifies speaker identity while preserving linguistic content in scenarios where the source and target speakers use different languages. Previous non-parallel disentanglement-based methods face severe training-testing inconsistency issues in…

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2025

Incremental Disentanglement for Environment-Aware Zero-Shot Text-to-Speech Synthesis

Ye-Xin Lu, Hui-Peng Du, Zheng-Yan Sheng, Yang Ai, Zhen-Hua Ling

ICASSP 2025accepted

This paper proposes an Incremental Disentanglement-based Environment-Aware zero-shot text-to-speech (TTS) method, dubbed IDEA-TTS, that can synthesize speech for unseen speakers while preserving the acoustic characteristics of a given environment reference speech. IDEA-TTS adopts VITS as the TTS bac…

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