Hi,
I have a question, I have a dataset of audiofiles that I’d like to convert into melspectogram and I want to use tourchaudio library to convert audio into a tensor directly. I’ve seen some people doing this by saving as an image, and I’d like to bypass that step, and train directly as a tensor. My question is, how should I do regarding, creating a Dataloader so that I can do this computational expensive operation and taking advantage of the fact that each folder is the label that contains all the training data for that class. The end goal is create a classification algorithm
Thanks so much!