1 citations · 1 across the 3 of their papers we have counts for
6 papers
S2ST-Omni: Hierarchical Language-Aware SpeechLLM Adaptation for Multilingual Speech-to-Speech Translation
Yu Pan, Xiongfei Wu, Yuguang Yang +3
Despite recent advances in speech-to-speech translation (S2ST), it remains difficult to achieve both high translation accuracy and practical flexibility. In this paper, we present…
ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech
Yu Pan, Yanni Hu, Yuguang Yang +5
Despite great advances, achieving high-fidelity emotional voice conversion (EVC) with flexible and interpretable control remains challenging. This paper introduces ClapFM-EVC, a no…
Fine-grained Preference Optimization Improves Zero-shot Text-to-Speech
Jixun Yao, Yuguang Yang, Yu Pan +5
Integrating human feedback to align text-to-speech (TTS) system outputs with human preferences has proven to be an effective approach for enhancing the robustness of language model…
StableVC: Style Controllable Zero-Shot Voice Conversion with Conditional Flow Matching
Jixun Yao, Yuguang Yang, Yu Pan +4
Zero-shot voice conversion (VC) aims to transfer the timbre from the source speaker to an arbitrary unseen speaker while preserving the original linguistic content. Despite recent…
Zero-Shot Voice Conversion via Content-Aware Timbre Ensemble and Conditional Flow Matching
Yu Pan, Yuguang Yang, Jixun Yao +2
Despite recent advances in zero-shot voice conversion (VC), achieving speaker similarity and naturalness comparable to ground-truth recordings remains a significant challenge. In t…
Takin: A Cohort of Superior Quality Zero-shot Speech Generation Models
Sijing Chen, Yuan Feng, Laipeng He +22
With the advent of the big data and large language model era, zero-shot personalized rapid customization has emerged as a significant trend. In this report, we introduce Takin Audi…