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English(EN) Does Notation Matter? MusicXML Tokenisation for Symbolic Music Generation and Understanding

MusicXML 分词推动符号音乐生成和理解

研究人员为 MusicXML(一种符号音乐交换的标准格式)开发了一个新颖的分词框架。他们的研究通过训练 26 个自回归和掩码语言模型,系统地评估了记谱丰富度对深度学习模型的影响。研究结果表明,使用 MusicXML 分词的模型在音乐理解和生成任务上的表现优于使用 MIDI 或基于文本的表示的模型。 AI

影响 这项研究可能通过利用更丰富的符号音乐数据,带来更复杂的音乐生成和分析 AI 模型。

排序理由 研究论文,详细介绍了一种新的符号音乐表示方法。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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MusicXML 分词推动符号音乐生成和理解

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研究论文,详细介绍了一种新的符号音乐表示方法。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Andrea Poltronieri, Matteo Spanio, Simone Chieppa, Xavier Serra, Mart\'in Rocamora ·

    记谱法重要吗?用于符号音乐生成与理解的 MusicXML 分词

    arXiv:2610.34247v1 Announce Type: cross Abstract: Symbolic music representations encode musical content at varying levels of completeness, from performance-oriented formats such as MIDI to fully notated scores such as MusicXML. Yet the impact of this representational richness on …