AI RESEARCH

VocalParse: Towards Unified and Scalable Singing Voice Transcription with Large Audio Language Models

arXiv CS.AI

ArXi:2605.04613v1 Announce Type: cross High-quality singing annotations are fundamental to modern Singing Voice Synthesis (SVS) systems. However, obtaining these annotations at scale through manual labeling is unrealistic due to the substantial labor and musical expertise required, making automatic annotation highly necessary. Despite their utility, current automatic transcription systems face significant challenges: they often rely on complex multi-stage pipelines, struggle to recover text-note alignments, and exhibit poor generalization to out-of-distribution (OOD) singing data.