/EEG_CrossModal

[ICASSP 2022] EEG - Music Cross Modal Learning

Primary LanguagePythonMIT LicenseMIT

Enhancing Affective Representations of Music-Induced EEG through Multimodal Supervision and latent Domain Adaptation

Conference

Code and music embeddings provided. To run, you must have the DEAP Dataset, stored into data/ folder.

  • Clone the current repository and cd into
  • run pip install -r requirements.txt
  • run python eeg_cmr/driver.py [-flags]

Citation

If you find our work useful in your research, consider citing:

@inproceedings{avramidis2022eeg,
  title={Enhancing Affective Representations of Music-Induced EEG through Multimodal Supervision and latent Domain Adaptation},
  author={Avramidis, Kleanthis and Garoufis, Christos and Zlatintsi, Athanasia and Maragos, Petros},
  booktitle={ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2022},
  doi={10.1109/ICASSP43922.2022.9746643}
}