The sound classifier should do data augmentation by default and give the users control over how it is done.
Adding pink noise and reverb are probably the two most important augmentation methods. Adjusting the volume levels would also be useful.
If we are doing data augmentation, we probably should not be doing channel averaging at training. Instead we should treat each channel as a separate example.
The sound classifier should do data augmentation by default and give the users control over how it is done.
Adding pink noise and reverb are probably the two most important augmentation methods. Adjusting the volume levels would also be useful.
If we are doing data augmentation, we probably should not be doing channel averaging at training. Instead we should treat each channel as a separate example.