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.gongupf.edu
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http://data.europa.eu/88u/dataset/oai-zenodo-org-1341071 |
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http://data.europa.eu/88u/dataset/oai-zenodo-org-1341071 |
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http://data.europa.eu/88u/dataset/oai-zenodo-org-1341071 |
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http://data.europa.eu/88u/dataset/oai-zenodo-org-1341071 |
Tags
- jingju
- singing-voice
- beijing-opera
- dataset
- annotation