Quantize & Factorize: A fast yet effective unsupervised audio representation without deep learning.
Jaehun Kim|Matthew C. McCallum|Andreas F. Ehmann
| Anthology ID: | DBLP:conf/ismir/KimME25 |
|---|---|
| Volume: | Proceedings of the 26th International Society for Music Information Retrieval Conference, ISMIR 2025, Daejeon, South Korea, September 21-25, 2025 |
| Year: | 2025 |
| Venue: | International Society for Music Information Retrieval Conference (ISMIR) |
| Pages: | 787-796 |
| URL: | https://doi.org/10.5281/ZENODO.17811485 |
| DOI: | https://doi.org/10.5281/ZENODO.17811485 |
| DBLP: | conf/ismir/KimME25 |
| BibTeX: |
@inproceedings{kim-2025-quantize,
author = {Jaehun Kim and
Matthew C. McCallum and
Andreas F. Ehmann},
editor = {Juhan Nam and
Dasaem Jeong and
Keunwoo Choi and
Li Su and
Magdalena Fuentes and
Tomoyasu Nakano and
Xiao Hu and
Hao-Wen Dong},
title = {{Quantize & Factorize: A fast yet effective unsupervised audio representation without deep learning}},
booktitle = {{Proceedings of the 26th International Society for Music Information Retrieval Conference, ISMIR 2025, Daejeon, South Korea, September 21-25, 2025}},
pages = {787--796},
year = {2025},
url = {https://doi.org/10.5281/ZENODO.17811485},
doi = {https://doi.org/10.5281/ZENODO.17811485}
}