An Empirical Study on How People Perceive AI-generated Music.
Hyeshin Chu|Joohee Kim|Seongouk Kim|Hongkyu Lim|Hyunwook Lee|Seungmin Jin|Jongeun Lee|Taehwan Kim|Sungahn Ko
| Anthology ID: | DBLP:conf/cikm/ChuKKLLJLKK22 |
|---|---|
| Volume: | Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022 |
| Year: | 2022 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 304-314 |
| URL: | https://doi.org/10.1145/3511808.3557235 |
| DOI: | https://doi.org/10.1145/3511808.3557235 |
| DBLP: | conf/cikm/ChuKKLLJLKK22 |
| BibTeX: |
@inproceedings{chu-2022-empirical,
author = {Hyeshin Chu and
Joohee Kim and
Seongouk Kim and
Hongkyu Lim and
Hyunwook Lee and
Seungmin Jin and
Jongeun Lee and
Taehwan Kim and
Sungahn Ko},
editor = {Mohammad Al Hasan and
Li Xiong},
title = {{An Empirical Study on How People Perceive AI-generated Music}},
booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}},
pages = {304--314},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3511808.3557235},
doi = {https://doi.org/10.1145/3511808.3557235}
}