Audio-to-Score Conversion Model Based on Whisper methodology

• URL: http://arxiv.org/abs/2410.17209v1
• Date: Tue, 22 Oct 2024 17:31:37 GMT
• Title: Audio-to-Score Conversion Model Based on Whisper methodology
• Authors: Hongyao Zhang, Bohang Sun,
• Abstract summary: This thesis innovatively introduces the "Orpheus' Score", a custom notation system that converts music information into tokens. Experiments show that compared to traditional algorithms, the model has significantly improved accuracy and performance.
• Score: 0.0
• License:
• Abstract: This thesis develops a Transformer model based on Whisper, which extracts melodies and chords from music audio and records them into ABC notation. A comprehensive data processing workflow is customized for ABC notation, including data cleansing, formatting, and conversion, and a mutation mechanism is implemented to increase the diversity and quality of training data. This thesis innovatively introduces the "Orpheus' Score", a custom notation system that converts music information into tokens, designs a custom vocabulary library, and trains a corresponding custom tokenizer. Experiments show that compared to traditional algorithms, the model has significantly improved accuracy and performance. While providing a convenient audio-to-score tool for music enthusiasts, this work also provides new ideas and tools for research in music information processing.

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