A Dataset and Baselines for Measuring and Predicting the Music Piece Memorability.
Li-Yang Tseng|Tzu-Ling Lin|Hong-Han Shuai|Jen-Wei Huang|Wen-Whei Chang
| Anthology ID: | DBLP:conf/ismir/TsengLSHC23 |
|---|---|
| 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: | 174-181 |
| URL: | https://doi.org/10.5281/ZENODO.10265251 |
| DOI: | https://doi.org/10.5281/ZENODO.10265251 |
| DBLP: | conf/ismir/TsengLSHC23 |
| BibTeX: |
@inproceedings{tseng-2023-dataset,
author = {Li-Yang Tseng and
Tzu-Ling Lin and
Hong-Han Shuai and
Jen-Wei Huang and
Wen-Whei Chang},
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 Dataset and Baselines for Measuring and Predicting the Music Piece Memorability}},
booktitle = {{Proceedings of the 24th International Society for Music Information Retrieval Conference, ISMIR 2023, Milan, Italy, November 5-9, 2023}},
pages = {174--181},
year = {2023},
url = {https://doi.org/10.5281/ZENODO.10265251},
doi = {https://doi.org/10.5281/ZENODO.10265251}
}