AI RESEARCH
Controllable Singing Style Conversion with Boundary-Aware Information Bottleneck
arXiv CS.AI
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ArXi:2604.05526v1 Announce Type: cross 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 conversion and control within in-domain settings. To address the critical challenges of style leakage, dynamic rendering, and high-fidelity generation with limited data, we