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 T...

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Bibliographic Details
Main Authors Huang, Yu-Fen, Moran, Nikki, Coleman, Simon, Kelly, Jon, Wei, Shun-Hwa, Chen, Po-Yin, Huang, Yun-Hsin, Chen, Tsung-Ping, Kuo, Yu-Chia, Wei, Yu-Chi, Li, Chih-Hsuan, Huang, Da-Yu, Kao, Hsuan-Kai, Lin, Ting-Wei, Su, Li
Format Data Set
LanguageEnglish
Published Zenodo 30.05.2024
Subjects
annotation
D motion capture
multimedia
music
semantic
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Summary: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.
Bibliography:RelationTypeNote: HasVersion -- 10.5281/zenodo.11393449
RelationTypeNote: IsPublishedIn -- 10.1109/TASLP.2024.3407529
2329-9304
10.1109/TASLP.2024.3407529
10.5281/zenodo.11393449
ISSN:2329-9304
DOI:10.5281/zenodo.11393448