GIO: A Timbre-informed Approach for Pitch Tracking in Highly Noisy Environments.
Xiaoheng Sun|Xia Liang|Qiqi He|Bilei Zhu|Zejun Ma
| Anthology ID: | DBLP:conf/mir/SunLHZM22 |
|---|---|
| Volume: | ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27 - 30, 2022 |
| Year: | 2022 |
| Venue: | International Conference on Multimedia Retrieval (ICMR) |
| Publisher: | ACM |
| Pages: | 480-488 |
| URL: | https://doi.org/10.1145/3512527.3531393 |
| DOI: | https://doi.org/10.1145/3512527.3531393 |
| DBLP: | conf/mir/SunLHZM22 |
| BibTeX: |
@inproceedings{sun-2022-gio,
author = {Xiaoheng Sun and
Xia Liang and
Qiqi He and
Bilei Zhu and
Zejun Ma},
editor = {Vincent Oria and
Maria Luisa Sapino and
Shin'ichi Satoh and
Brigitte Kerherv\'{e} and
Wen-Huang Cheng and
Ichiro Ide and
Vivek K. Singh},
title = {{GIO: A Timbre-informed Approach for Pitch Tracking in Highly Noisy Environments}},
booktitle = {{ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27 - 30, 2022}},
pages = {480--488},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3512527.3531393},
doi = {https://doi.org/10.1145/3512527.3531393}
}