A Semi-Supervised Deep Learning Approach to Dataset Collection for Query-by-Humming Task.
Amantur Amatov|Dmitry Lamanov|Maksim Titov|Ivan Vovk|Ilya Makarov|Mikhail A. Kudinov
| Anthology ID: | DBLP:conf/ismir/AmatovLTVMK23 |
|---|---|
| Volume: | Proceedings of the 24th International Society for Music Information Retrieval Conference, ISMIR 2023, Milan, Italy, November 5-9, 2023. |
| Year: | 2023 |
| Venue: | International Society for Music Information Retrieval Conference (ISMIR) |
| Pages: | 649-656 |
| URL: | https://doi.org/10.5281/ZENODO.10265375 |
| DOI: | https://doi.org/10.5281/ZENODO.10265375 |
| DBLP: | conf/ismir/AmatovLTVMK23 |
| BibTeX: |
@inproceedings{amatov-2023-semisupervised,
author = {Amantur Amatov and
Dmitry Lamanov and
Maksim Titov and
Ivan Vovk and
Ilya Makarov and
Mikhail A. Kudinov},
editor = {Augusto Sarti and
Fabio Antonacci and
Mark B. Sandler and
Paolo Bestagini and
Simon Dixon and
Beici Liang and
Ga\"{e}l Richard and
Johan Pauwels},
title = {{A Semi-Supervised Deep Learning Approach to Dataset Collection for Query-by-Humming Task}},
booktitle = {{Proceedings of the 24th International Society for Music Information Retrieval Conference, ISMIR 2023, Milan, Italy, November 5-9, 2023}},
pages = {649--656},
year = {2023},
url = {https://doi.org/10.5281/ZENODO.10265375},
doi = {https://doi.org/10.5281/ZENODO.10265375}
}