Papers by ZheTao Chen

1 papers
STARS: A Unified Framework for Singing Transcription, Alignment, and Refined Style Annotation (2025.findings-acl)

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Challenge: Existing automated singing annotation (ASA) methods tackle isolated aspects of the annotation pipeline.
Approach: They propose a framework that addresses transcription, alignment, and refined style annotations.
Outcome: The proposed framework delivers comprehensive multi-level annotations encompassing: (1) precise phoneme-audio alignment, (2) robust note transcription and temporal localization, (3) expressive vocal technique identification, and (4) global stylistic characterization including emotion and pace.

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