MOSA: Music mOtion and Semantic Annotation dataset

MOSA dataset is a large-scale music dataset containing 742 professional piano and violin solo music performances with 23 musicians (> 30 hours, and > 570 K notes). This dataset features following types of data: High-quality 3-D motion capture data Audio recordings Manual semantic annotations This is the dataset of the paper: Huang et al. (2024) MOSA: Music Motion with Semantic Annotation Dataset for Multimedia Anaysis and Generation. IEEE/ACM Transactions on Audio, Speech and Language Processing. DOI: 10.1109/TASLP.2024.3407529https://arxiv.org/abs/2406.06375 The description of dataset is avaiable on Github: https://github.com/yufenhuang/MOSA-Music-mOtion-and-Semantic-Annotation-dataset/blob/main/MOSA-dataset/dataset.md To request the access of full dataset, please sign in with Zenodo and submit the request from.MOSA数据集是一款大规模音乐数据集，收录742段专业钢琴与小提琴独奏演奏作品，涉及23位演奏者，总时长超30小时，总音符数逾57万。该数据集包含以下三类数据： 1. 高质量三维动作捕捉（3-D motion capture）数据 2. 音频录音（Audio recordings） 3. 人工语义标注（Manual semantic annotations） 该数据集源自Huang等人2024年发表于《IEEE/ACM音频、语音与语言处理汇刊》（IEEE/ACM Transactions on Audio, Speech and Language Processing）的论文《MOSA：面向多媒体分析与生成的带语义标注音乐动作数据集》（MOSA: Music Motion with Semantic Annotation Dataset for Multimedia Analysis and Generation），其DOI标识为10.1109/TASLP.2024.3407529，预印本可在arXiv:2406.06375获取。 该数据集的详细说明可于Github仓库查阅：https://github.com/yufenhuang/MOSA-Music-mOtion-and-Semantic-Annotation-dataset/blob/main/MOSA-dataset/dataset.md 若需申请完整数据集的访问权限，请登录Zenodo平台并提交访问申请。