Very Deep Convolutional Networks For Raw Waveforms
Keras (Tensorflow) implementation of the paper: https://arxiv.org/pdf/1610.00087.pdf
- Going really deep does not seem to help much on this dataset. We clearly overfit very easily. Adding more regularization might help. I haven't tried to use the FC layers (though it has been implemented).
- We use the
fold10folder for the testing set and the remaining for the training set.
- Models implemented:
[x] M3 [x] M5 [x] M11 [x] M18 [x] M34 (ResNet)
How to re-run the experiments?
Dataset can be downloaded here: http://urbansounddataset.weebly.com/urbansound8k.html
git clone https://github.com/philipperemy/very-deep-convnets-raw-waveforms.git cd very-deep-convnets-raw-waveforms sudo pip3 install -r requirements.txt ./run_all.sh # will run M3, M5, M11, M18 and M34