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English(EN) A Dataset for the Recognition of Historical and Handwritten Music Scores in Western Notation

新数据集助力AI识别历史乐谱

研究人员推出了 MusiCorpus 数据集,该数据集包含 1,309 页历史和手写乐谱。该数据集旨在通过提供用于训练和评估机器学习系统的大规模、真实样本来推进光学音乐识别 (OMR)。它包含 MusicXML 转录和符号注释,填补了 OMR 可用训练数据的关键空白。 AI

影响 能够开发 AI 系统,将大量历史音乐档案数字化并使其可机器读取。

排序理由 该集群描述了一个特定 AI 研究任务 (OMR) 的新数据集。[lever_c_demoted from research: ic=1 ai=1.0]

在 Hugging Face Daily Papers 阅读 →

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

新数据集助力AI识别历史乐谱

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该集群描述了一个特定 AI 研究任务 (OMR) 的新数据集。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    用于识别西方记谱法中历史和手写乐谱的数据集

    A large amount of musical heritage has been digitised by memory institutions: libraries, museums, and archives. Nevertheless, the field of Optical Music Recognition (OMR) has struggled with making this music machine-readable, despite advances in deep learning, mostly because no d…