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Exploring Tokenization Methods for Multitrack Sheet Music Generation

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arxiv 2410.17584 v1 pith:HMY37YEU submitted 2024-10-23 cs.SD cs.AIeess.AS

Yashan Wang , Shangda Wu , Xingjian Du , Maosong Sun This is my paper
classification cs.SDcs.AIeess.AS
keywords patchingmusicsheettokenizationbytegenerationmethodsmultitrack
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This study explores the tokenization of multitrack sheet music in ABC notation, introducing two methods--bar-stream and line-stream patching. We compare these methods against existing techniques, including bar patching, byte patching, and Byte Pair Encoding (BPE). In terms of both computational efficiency and the musicality of the generated compositions, experimental results show that bar-stream patching performs best overall compared to the others, which makes it a promising tokenization strategy for sheet music generation.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Via Score to Performance: Efficient Human-Controllable Long Song Generation with Bar-Level Symbolic Notation

    cs.SD 2025-08 unverdicted novelty 5.0 of 10

    A bar-level symbolic-score song generator (BACH) is claimed to beat published systems and commercial Suno on human-rated quality, duration, and efficiency, but the supporting full text is corrupted and unverifiable.

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