Custom Spectrogram sizes using audio frontend

[MATTYGILO]

Hi I was wondering if it is possible to customise audio frontend to allow for different sample rates, stride size's and duration size's.

Also is audio frontend faster than ulab's fft

[mocleiri]

I just hard coded the spectrogram settings used on the reference example.

It's 100% possible to create a config object for the various settings and use it to change the settings used.

https://github.com/mocleiri/tensorflow-micropython-examples/blob/2c4573dbaf41dd391a15276bbe4bd9368ae169c4/micropython-modules/microlite/audio_frontend.c#L82

I.e. make a micropython config object to hold the settings and pass through into the reference example audio frontend at that point.

I didn't know enough at the start about how to use ulab to make the spectrogram.

You would probably need to retrain the network using the ulab spectrogram. I guess confirm the spectrogram is the same between bumpy ulab.

If you try using ulab I'd be happy to include it as one of the examples.