collaborators

9 papers

cs.MM2025

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…

cs.SD2025

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…

cs.SD2024

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…

eess.AS2024

Accompanied Singing Voice Synthesis with Fully Text-controlled Melody

Ruiqi Li, Zhiqing Hong, Yongqi Wang +4

Text-to-song (TTSong) is a music generation task that synthesizes accompanied singing voices. Current TTSong methods, inherited from singing voice synthesis (SVS), require melody-r…

eess.AS2024

Self-Supervised Singing Voice Pre-Training towards Speech-to-Singing Conversion

Ruiqi Li, Rongjie Huang, Yongqi Wang +2

Speech-to-singing voice conversion (STS) task always suffers from data scarcity, because it requires paired speech and singing data. Compounding this issue are the challenges of co…

eess.AS2024

Robust Singing Voice Transcription Serves Synthesis

Ruiqi Li, Yu Zhang, Yongqi Wang +3

Note-level Automatic Singing Voice Transcription (AST) converts singing recordings into note sequences, facilitating the automatic annotation of singing datasets for Singing Voice…

cs.SD2024

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…

eess.AS2024

Text-to-Song: Towards Controllable Music Generation Incorporating Vocals and Accompaniment

Zhiqing Hong, Rongjie Huang, Xize Cheng +5

A song is a combination of singing voice and accompaniment. However, existing works focus on singing voice synthesis and music generation independently. Little attention was paid t…

cs.SD2024

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…