5 papers
XEmoRAG: Cross-Lingual Emotion Transfer with Controllable Intensity Using Retrieval-Augmented Generation
Tianlun Zuo, Jingbin Hu, Yuke Li +6
Zero-shot emotion transfer in cross-lingual speech synthesis refers to generating speech in a target language, where the emotion is expressed based on reference speech from a diffe…
FleSpeech: Flexibly Controllable Speech Generation with Various Prompts
Hanzhao Li, Yuke Li, Xinsheng Wang +4
Controllable speech generation methods typically rely on single or fixed prompts, hindering creativity and flexibility. These limitations make it difficult to meet specific user ne…
CoDiff-VC: A Codec-Assisted Diffusion Model for Zero-shot Voice Conversion
Yuke Li, Xinfa Zhu, Hanzhao Li +6
Zero-shot voice conversion (VC) aims to convert the original speaker's timbre to any target speaker while keeping the linguistic content. Current mainstream zero-shot voice convers…
Zero-Shot Emotion Transfer For Cross-Lingual Speech Synthesis
Yuke Li, Xinfa Zhu, Yi Lei +4
Zero-shot emotion transfer in cross-lingual speech synthesis aims to transfer emotion from an arbitrary speech reference in the source language to the synthetic speech in the targe…
Boosting Multi-Speaker Expressive Speech Synthesis with Semi-supervised Contrastive Learning
Xinfa Zhu, Yuke Li, Yi Lei +3
This paper aims to build a multi-speaker expressive TTS system, synthesizing a target speaker's speech with multiple styles and emotions. To this end, we propose a novel contrastiv…