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This is the implementation for the paper: A CNN-GRU approach to capture time-frequency pattern interdependence for snore sound classification.

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Snore-Sound-Classification-by-Deep-Learning

This is the implementation for the paper: A CNN-GRU approach to capture time-frequency pattern interdependence for snore sound classification.

Citation

If you use the work mentioned in the paper, please cite:

@inproceedings{wang2018cnn,
  title={A CNN-GRU approach to capture time-frequency pattern interdependence for snore sound classification},
  author={Wang, Jianhong and Str{\"o}mfeli, Harald and Schuller, Bjorn W},
  booktitle={2018 26th European Signal Processing Conference (EUSIPCO)},
  pages={997--1001},
  year={2018},
  organization={IEEE}
}

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This is the implementation for the paper: A CNN-GRU approach to capture time-frequency pattern interdependence for snore sound classification.

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