My Carnatic Raga classifier is progressing very well. I am now training a classifier to identify 142 ragas.

A bit of background: I have been working on a Raga classifier since November of last year - I started with just 2 ragas and a couple megabytes of audio. After experimenting with a lot of different ideas and Neural Net Architectures, I finally landed on one that could scale. I increases to 4 ragas, then 12, then 25 and then to 65.

All the training is done locally on my desktop (RTX4080, AMD 7950X, 64G RAM). My goal is to make an app for fast inferencing (preferably CPU) and to get this app in the hands of enthusiasts so that I can get some real data on its efficacy. If that goal is hit, then my plan is to iterate and keep increasing the raga count on the model and eventually release to the public. As long as I can get the model to either run locally or for very cheap on server, I hope to not charge for this.

It has been an amazing learning experience. The first time I got a carnatic singer to sing and the model nailed almost all ragas was the highest high I've felt in a while.