Re-training for alternate samplerate

[mrdeveloperdude]

I noticed that CREPE seems to be trained on sample data in 16kHz. I want to use this in an open source karaoke software I am working on which is designed to run on limited embedded hardware and so doing sample rate conversion on the fly is an expense I would like to avoid. I thought that it would be easy to fix by simply retraining CREPE by using my native samplerate instead (44.1kHz), but I could not find any code to train the models.

Was this left out on purpose? Is it available someplace?

Thanks!

[jongwook]

Hi, the training code is available at: https://github.com/jongwook/crepe but it is even less maintained than this one.

One hack you could do is, just subsample every 3 (or 2) samples effectively making a 14.7 kHz (or 22.05 kHz) audio, run them through one of the pretrained CREPE models, and scale the frequency estimate by 16/14.7 (or 16/22.05) to get the actual frequencies. This assumes that there are negligible energy in the above-Nyquist band (which is generally true and worked okay for the web demo), and also that the accuracy is not terribly impacted by the frequency scaling.

[PratikStar]

Isn't the original model trained for 16k sample rate and NOT 44.1kHz?