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English(EN) ScorePrompts: Natural-Language Exploration of Symbolic Music Scores through Analysis

新系统支持音乐乐谱的自然语言探索

研究人员开发了ScorePrompts,一个允许用户使用自然语言探索符号音乐乐谱的交互式系统。用户可以上传乐谱,获得其音乐结构的描述,询问关于特定部分的疑问,并直接在记谱法上查看分析结果。该系统集成了各种音乐信息检索(MIR)组件来分析和声、调性、曲式和织体,然后使用模式约束语言模型生成自然语言解释。这种方法使用户无需从原始数据中推断即可访问和检查详细的音乐分析,从而促进了探索性乐谱分析。 AI

影响 支持新的AI辅助音乐学研究和教育形式。

排序理由 该条目描述了一篇关于新型音乐乐谱分析系统的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新系统支持音乐乐谱的自然语言探索

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该条目描述了一篇关于新型音乐乐谱分析系统的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Emmanouil Karystinaios, Gerhard Widmer ·

    ScorePrompts: 通过分析进行符号音乐乐谱的自然语言探索

    arXiv:2609.13291v1 Announce Type: cross Abstract: We present ScorePrompts, an interactive system in which users upload a score, receive natural-language descriptions of its musical structure, ask questions about specific passages, and inspect the corresponding analysis results in…