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This repository is to split the audio in the same length and applying some state of the art techniques on signal.

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awal-ahmed/Danger-detection

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danger_detection

If you want tha basic understanding about audio classification. I would recommand to check-out this playlist, then come back to this repository.

Then set-up the environment using this repository

To split all audio in same length run:

python clean.py

If you want to change any parameter, change default value under __main__

To train the models run:

python train.py
or 
python train.py --model_type resnet50

Models to run. i.e. conv1d, resnet50, lstm, mobilenetv2, inceptionv3, xception To get accuracy of your model run:

python predict.py
or
python predict.py --model_type resnet50

If you find this repository and paper helpful, we would appreciate using the following citations:

@inproceedings{ashikuzzaman2021danger,
  title={Danger Detection for Women and Child Using Audio Classification and Deep Learning},
  author={Ashikuzzaman, Md and Fime, Awal Ahmed and Aziz, Abdul and Tasnima, Tanvira},
  booktitle={2021 5th International Conference on Electrical Information and Communication Technology (EICT)},
  pages={1--6},
  year={2021},
  organization={IEEE}
}

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This repository is to split the audio in the same length and applying some state of the art techniques on signal.

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