MOSA: Music mOtion and Semantic Annotation dataset

<p>MOSA dataset is a large-scale music dataset containing 742 professional piano and violin solo music performances with 23 musicians (&gt; 30 hours, and &gt; 570 K notes). This dataset features following types of data:</p> <ul> <li><strong>High-quality 3-D motion capture data</strong></li> <li><strong>Audio recordings</strong></li> <li><strong>Manual semantic annotations</strong></li> </ul> <p>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.2024.3407529<br>https://arxiv.org/abs/2406.06375</p> <p>&nbsp;</p> <p>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</p> <p>&nbsp;</p> <p>To request the access of full dataset, please sign in with Zenodo and submit the request from.</p>