Sanidha: A Studio Quality Multi-Modal Dataset for Carnatic Music.
Venkatakrishnan Vaidyanathapuram Krishnan|Noel Alben|Anish A. Nair|Nathaniel Condit-Schultz
| Anthology ID: | DBLP:conf/ismir/KrishnanANC24 |
|---|---|
| Volume: | Proceedings of the 25th International Society for Music Information Retrieval Conference, ISMIR 2024, San Francisco, California, USA and Online, November 10-14, 2024. |
| Year: | 2024 |
| Venue: | International Society for Music Information Retrieval Conference (ISMIR) |
| Pages: | 705-712 |
| URL: | https://doi.org/10.5281/ZENODO.14877433 |
| DOI: | https://doi.org/10.5281/ZENODO.14877433 |
| DBLP: | conf/ismir/KrishnanANC24 |
| BibTeX: |
@inproceedings{krishnan-2024-sanidha,
author = {Venkatakrishnan Vaidyanathapuram Krishnan and
Noel Alben and
Anish A. Nair and
Nathaniel Condit-Schultz},
editor = {Blair Kaneshiro and
Gautham J. Mysore and
Oriol Nieto and
Chris Donahue and
Cheng-Zhi Anna Huang and
Jin Ha Lee and
Brian McFee and
Matthew C. McCallum},
title = {{Sanidha: A Studio Quality Multi-Modal Dataset for Carnatic Music}},
booktitle = {{Proceedings of the 25th International Society for Music Information Retrieval Conference, ISMIR 2024, San Francisco, California, USA and Online, November 10-14, 2024}},
pages = {705--712},
year = {2024},
url = {https://doi.org/10.5281/ZENODO.14877433},
doi = {https://doi.org/10.5281/ZENODO.14877433}
}