For start training:
. start.sh
Ideas for check:
- Wavenet with bandpass and turkey window
Wavenet longer train(15 epochs)Check weighted sampler with equal fractions of hard positive and negative samples- SED model and segmentation outputs postproccess
- Check gradient clipping
- Resnet architectures
- Weight decay optimizator