Saraga: Open Datasets for Research on Indian Art Music

Author:

Srinivasamurthy Ajay,Gulati Sankalp,Caro Repetto Rafael,Serra Xavier

Abstract

We introduce two large open data collections of Indian Art Music, both its Carnatic and Hindustani traditions, comprising audio from vocal concerts, editorial metadata, and time-aligned melody, rhythm, and structure annotations. Shared under Creative Commons licenses, they currently form the largest annotated data collections available for computational analysis of Indian Art Music. The collections are intended to provide audio and ground truth for several music information research tasks and large-scale data-driven analysis in musicological studies. A part of the Saraga Carnatic collection also has multitrack recordings, making it a valuable collection for research on melody extraction, source separation, automatic mixing, and performance analysis. We describe the tenets and the process of collection, annotation, and organization of the data. We provide easy access to the audio, metadata, and the annotations in the collections through an API, along with a companion website that has example scripts to facilitate access and use of the data. To sustain and grow the collections, we provide a mechanism for both the research and music community to contribute additional data and annotations to the collections. We also present applications with the collections for music education, understanding, exploration, and discovery.

Publisher

The Ohio State University Libraries

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Svara-forms and coarticulation in Carnatic music: an investigation using deep clustering;Proceedings of the 11th International Conference on Digital Libraries for Musicology;2024-06-27

2. A review of intelligent music generation systems;Neural Computing and Applications;2024-02-19

3. Continuing CompMusic: New Approaches in the Computational Analysis of Carnatic Music;Advances in Intelligent Systems and Computing;2024

4. Representation and Analysis of Dynamics for Automated Music Assessment in Hindustani Vocal Music;Advances in Intelligent Systems and Computing;2024

5. Historical Discography Management Platform and Crowdsourcing Practices in Music Archiving;Communications in Computer and Information Science;2024

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