Statistical Music Structure Analysis Based on a Homogeneity-, Repetitiveness-, and Regularity-Aware Hierarchical Hidden Semi-Markov Model.
Go Shibata|Ryo Nishikimi|Eita Nakamura|Kazuyoshi Yoshii
| Anthology ID: | DBLP:conf/ismir/ShibataNNY19 |
|---|---|
| Volume: | Proceedings of the 20th International Society for Music Information Retrieval Conference, ISMIR 2019, Delft, The Netherlands, November 4-8, 2019 |
| Year: | 2019 |
| Venue: | International Society for Music Information Retrieval Conference (ISMIR) |
| Pages: | 268-275 |
| URL: | http://archives.ismir.net/ismir2019/paper/000031.pdf |
| DBLP: | conf/ismir/ShibataNNY19 |
| BibTeX: |
@inproceedings{shibata-2019-statistical,
author = {Go Shibata and
Ryo Nishikimi and
Eita Nakamura and
Kazuyoshi Yoshii},
editor = {Arthur Flexer and
Geoffroy Peeters and
Juli\'{a}n Urbano and
Anja Volk},
title = {{Statistical Music Structure Analysis Based on a Homogeneity-, Repetitiveness-, and Regularity-Aware Hierarchical Hidden Semi-Markov Model}},
booktitle = {{Proceedings of the 20th International Society for Music Information Retrieval Conference, ISMIR 2019, Delft, The Netherlands, November 4-8, 2019}},
pages = {268--275},
year = {2019},
url = {http://archives.ismir.net/ismir2019/paper/000031.pdf}
}