1 citations · 1 across the 4 of their papers we have counts for
4 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…
Weakly Supervised Data Refinement and Flexible Sequence Compression for Efficient Thai LLM-based ASR
Mingchen Shao, Xinfa Zhu, Chengyou Wang +6
Despite remarkable achievements, automatic speech recognition (ASR) in low-resource scenarios still faces two challenges: high-quality data scarcity and high computational demands.…
FreeV: Free Lunch For Vocoders Through Pseudo Inversed Mel Filter
Yuanjun Lv, Hai Li, Ying Yan +3
Vocoders reconstruct speech waveforms from acoustic features and play a pivotal role in modern TTS systems. Frequent-domain GAN vocoders like Vocos and APNet2 have recently seen ra…
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…