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"

  • 1. Music Technology Group, Universitat Pompeu Fabra

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:

  1. ismir_2018_dataset_for_reviewing.zip: audio, syllable boundary and label annotation
  2. 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

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Additional details

Funding

COMPMUSIC – Computational models for the discovery of the world's music 267583
European Commission