Papers with multi-scale framework

1 papers
Robust Singing Voice Transcription Serves Synthesis (2024.acl-long)

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Challenge: Current AST methods struggle with accuracy and robustness when used for practical annotation.
Approach: They propose a model that converts singing recordings into note sequences for automatic annotation of singing datasets.
Outcome: The proposed model outperforms baseline models on enlarged, automatically annotated datasets.

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