遇见数据集

ACPAS dataset: Aligned Classical Piano Audio and Score (synthetic subset)

收藏
Zenodo2021-11-19 更新2026-05-25 收录
数据链接:
官方服务:

资源简介:

<strong>ACPAS</strong> is a dataset with aligned audio and scores for classical piano music containing 497 distinct music scores aligned with 2189 performances, in total 179.77 hours. For each performance, we provide the corresponding performance audio (real recording or synthesized recording), performance MIDI, and MIDI score, together with rhythm and key annotations. This is the <strong>Synthetic subset</strong> of the ACPAS dataset. To download the full dataset and for dataset details, please refer to the dataset webpage at https://cheriell.github.io/research/ACPAS_dataset For any questions, suggestions, or comments, please do not hesitate to contact lele.liu@qmul.ac.uk <strong>How to cite:</strong> - Lele Liu, Veronica Morfi, and Emmanouil Benetos, "ACPAS: A Dataset of Aligned Classical Piano Audio and Scores for Audio-to-Score Transcription," in ISMIR Late-breaking Demo, 2021. <strong>Funding:</strong> L. Liu is a research student at the UKRI Centre for Doctoral Training in Artificial Intelligence and Music, supported jointly by the China Scholarship Council and Queen Mary University of London.

<strong>ACPAS</strong> 是一款面向古典钢琴音乐的音频与乐谱对齐数据集,涵盖497首独立乐谱,对应2189段演奏音频,总时长达179.77小时。针对每一段演奏,我们均提供对应的演奏音频(真实录制或合成录制版本)、演奏MIDI(音乐数字接口,Musical Instrument Digital Interface)文件与乐谱MIDI文件,同时附带节奏与调式标注。本数据集为ACPAS数据集的<strong>合成子集(Synthetic subset)</strong>。如需下载完整数据集或查阅更多数据集相关细节,请访问数据集官方网页:https://cheriell.github.io/research/ACPAS_dataset。如有任何疑问、建议或反馈,欢迎联系邮箱lele.liu@qmul.ac.uk。<strong>引用格式:</strong> - Lele Liu、Veronica Morfi与Emmanouil Benetos,《ACPAS:面向音画转录的古典钢琴音频与乐谱对齐数据集》,收录于2021年国际音乐信息检索大会(ISMIR)晚场演示环节。<strong>资助说明:</strong> 作者L. Liu为英国研究与创新(UKRI)人工智能与音乐博士培训中心在读博士生,受中国国家留学基金委员会与伦敦大学玛丽女王学院联合资助。

提供机构:
Zenodo
创建时间:
2021-10-14
二维码
社区交流群
二维码
科研交流群
商业服务