SpecAugment

[keunwoochoi]

https://github.com/zcaceres/spec_augment

This is obviously what we'd be interested in. cc' @zcaceres

[ksanjeevan]

We could add the PitchShift and TimeStretch on gpu here too?

[keunwoochoi]

If we go for #37's way, yes definitely - and it was even faster than on-CPU, right?

[zcaceres]

thanks for the mention!

Not to be promotional but have you taken a look at fastai-audio ? I wrote a bunch of GPU-based data augmentations there w/Torchaudio.

[ksanjeevan]

TimeStretch benchmark showed faster than librosa on cpu (and way faster on gpu).

[keunwoochoi]

@zcaceres Oh, only heard of it, looks great! Seems like a bunch of great motivations. I'll review the notebooks by myself soon and would love to hear from you about anything good to add here :)

[zcaceres]

@keunwoochoi the notebooks are a bit of a mess so reader beware! within the next two weeks I'll be polishing them up and exporting the best code to a usable module.

the idea was to have a full audio pipeline from raw files --> transforms with GPU --> working classifier & working sequence (RNN) model where you can easily operate on raw signal or an image representation (spectro) of the signal. We are essentially there with functionality, but needs some polish.