4 papers
Controllable Singing Style Conversion with Boundary-Aware Information Bottleneck
Zhetao Hu, Yiquan Zhou, Wenyu Wang +3
This paper presents the submission of the S4 team to the Singing Voice Conversion Challenge 2025 (SVCC2025)-a novel singing style conversion system that advances fine-grained style…
FabasedVC: Enhancing Voice Conversion with Text Modality Fusion and Phoneme-Level SSL Features
Wenyu Wang, Zhetao Hu, Yiquan Zhou +4
In voice conversion (VC), it is crucial to preserve complete semantic information while accurately modeling the target speaker's timbre and prosody. This paper proposes FabasedVC t…
DuoTok: Source-Aware Dual-Track Music Tokenization for Vocal-Accompaniment Generation
Rui Lin, Zhiyue Wu, Jiahe Le +5
Multi-track music generation requires tokens that preserve acoustic fidelity, support sequence modeling, and maintain cross-track structure. Reconstruction-oriented codecs retain a…
Back to Ear: Perceptually Driven High Fidelity Music Reconstruction
Kangdi Wang, Zhiyue Wu, Dinghao Zhou +3
Variational Autoencoders (VAEs) are essential for large-scale audio tasks like diffusion-based generation. However, existing open-source models often neglect auditory perceptual as…