Published August 7, 2018
| Version v1
Dataset
Open
Jingju a cappella singing voice test dataset for "An efficient deep learning model for musical onset detection"
Description
Jingju a cappella singing voice test dataset used in the paper "An efficient deep learning model for musical onset detection".
Arxiv paper link: https://arxiv.org/abs/1806.06773
Supplementary information and code for the paper: https://github.com/ronggong/musical-onset-efficient
Content:
- ismir_2018_dataset_for_reviewing.zip: audio, syllable boundary and label annotation
- jingju dataset train test split filenames.xlsx: train and test split filename list
Citation:
@article{gong2018towards, title={Towards an efficient deep learning model for musical onset detection}, author={Gong, Rong and Serra, Xavier}, journal={arXiv preprint arXiv:1806.06773}, year={2018} }
Contact:
Rong Gong: rong.gong<at>upf.edu
Files
ismir_2018_dataset_for_reviewing.zip
Files
(6.8 GB)
Name | Size | Download all |
---|---|---|
md5:84a88be0eb241d74fed378e6616ba256
|
6.8 GB | Preview Download |
md5:61fa2581c08b75caf78cc94e0267f732
|
7.8 kB | Download |
md5:61fa2581c08b75caf78cc94e0267f732
|
7.8 kB | Download |