5 papers
Controllable Text-to-Speech Synthesis with Masked-Autoencoded Style-Rich Representation
Yongqi Wang, Chunlei Zhang, Hangting Chen +2
Controllable TTS models with natural language prompts often lack the ability for fine-grained control and face a scarcity of high-quality data. We propose a two-stage style-control…
TechSinger: Technique Controllable Multilingual Singing Voice Synthesis via Flow Matching
Wenxiang Guo, Yu Zhang, Changhao Pan +6
Singing voice synthesis has made remarkable progress in generating natural and high-quality voices. However, existing methods rarely provide precise control over vocal techniques s…
Prompt-Singer: Controllable Singing-Voice-Synthesis with Natural Language Prompt
Yongqi Wang, Ruofan Hu, Rongjie Huang +6
Recent singing-voice-synthesis (SVS) methods have achieved remarkable audio quality and naturalness, yet they lack the capability to control the style attributes of the synthesized…
Frieren: Efficient Video-to-Audio Generation Network with Rectified Flow Matching
Yongqi Wang, Wenxiang Guo, Rongjie Huang +5
Video-to-audio (V2A) generation aims to synthesize content-matching audio from silent video, and it remains challenging to build V2A models with high generation quality, efficiency…
MoMu-Diffusion: On Learning Long-Term Motion-Music Synchronization and Correspondence
Fuming You, Minghui Fang, Li Tang +3
Motion-to-music and music-to-motion have been studied separately, each attracting substantial research interest within their respective domains. The interaction between human motio…