Dataset Open Access

MAD-EEG: an EEG dataset for decoding auditory attention to a target instrument in polyphonic music

Giorgia Cantisani; Gabriel Trégoat; Slim Essid; Gaël Richard

The MAD-EEG Dataset is a research corpus for studying EEG-based auditory attention decoding to a target instrument in polyphonic music. 

The dataset consists of 20-channel EEG responses to music recorded from 8 subjects while attending to a particular instrument in a music mixture. 

For further details, please refer to the paper: MAD-EEG: an EEG dataset for decoding auditory attention to a target instrument in polyphonic music.

If you use the data in your research, please reference the paper (not just the Zenodo record):

@inproceedings{Cantisani2019,
  author={Giorgia Cantisani and Gabriel Trégoat and Slim Essid and Gaël Richard},
  title={{MAD-EEG: an EEG dataset for decoding auditory attention to a target instrument in polyphonic music}},
  year=2019,
  booktitle={Proc. SMM19, Workshop on Speech, Music and Mind 2019},
  pages={51--55},
  doi={10.21437/SMM.2019-11},
  url={http://dx.doi.org/10.21437/SMM.2019-11}
}

 

Files (4.7 GB)
Name Size
behavioural_data.xlsx
md5:bcd8f706f0c1ab0eee8fe3211f0d8cfc 		13.7 kB Download
madeeg_preprocessed.hdf5
md5:92f9c3684fe72203160b0838ff2bb0f7 		3.7 GB Download
madeeg_preprocessed.yaml
md5:1d093597df6fb1bada04903e20b06201 		153.9 kB Download
madeeg_raw.hdf5
md5:795d7eea8f66550898ca2afeec55767c 		702.1 MB Download
madeeg_raw.yaml
md5:cda4950e78da7c9fe94b3c139b4d711f 		77.5 kB Download
madeeg_sequences_raw.yaml
md5:815475b21c289107a03cb355f2d24e96 		300.7 kB Download
stimuli.zip
md5:6165f80d0bc09ece2c42b10098434533 		288.4 MB Download
tutorial-MAD-EEG.ipynb
md5:67f281aba3e38caeabb627ef16a60830 		1.4 MB Download
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Publication date:
September 19, 2019
DOI:
10.5281/zenodo.4537751

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Keyword(s):
Auditory attention decoding EEG Polyphonic music
Grants:
European Commission:
  • MIP-Frontiers - New Frontiers in Music Information Processing (765068)
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Version 1.0.0 10.5281/zenodo.4537751 Sep 19, 2019
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