collaborators

7 papers

eess.AS2026

YingMusic-Singer: Controllable Singing Voice Synthesis with Flexible Lyric Manipulation and Annotation-free Melody Guidance

Chunbo Hao, Junjie Zheng, Guobin Ma +6

Regenerating singing voices with altered lyrics while preserving melody consistency remains challenging, as existing methods either offer limited controllability or require laborio…

eess.AS2026

S2Accompanist: A Semantic-Aware and Structure-Guided Diffusion Model for Music Accompaniment Generation

Huakang Chen, Wenkai Cheng, Guobin Ma +7

High-fidelity text-to-music generation typically relies on massive proprietary datasets and immense computational resources. Existing models often struggle to generate coherent pur…

eess.AS2026

SongFormer: Scaling Music Structure Analysis with Heterogeneous Supervision

Chunbo Hao, Ruibin Yuan, Jixun Yao +5

Music structure analysis (MSA) underpins music understanding and controllable generation, yet progress has been limited by small, inconsistent corpora. We present SongFormer, a sca…

cs.SD2025

YingMusic-Singer: Zero-shot Singing Voice Synthesis and Editing with Annotation-free Melody Guidance

Junjie Zheng, Chunbo Hao, Guobin Ma +5

Singing Voice Synthesis (SVS) remains constrained in practical deployment due to its strong dependence on accurate phoneme-level alignment and manually annotated melody contours, r…

eess.AS2025

DiffRhythm+: Controllable and Flexible Full-Length Song Generation with Preference Optimization

Huakang Chen, Yuepeng Jiang, Guobin Ma +7

Songs, as a central form of musical art, exemplify the richness of human intelligence and creativity. While recent advances in generative modeling have enabled notable progress in…

eess.AS2025

SongEval: A Benchmark Dataset for Song Aesthetics Evaluation

Jixun Yao, Guobin Ma, Huixin Xue +9

Aesthetics serve as an implicit and important criterion in song generation tasks that reflect human perception beyond objective metrics. However, evaluating the aesthetics of gener…