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} }