In Text-to-Speech, Your Ears Will Always Matter More Than Metrics

I’ve been doing projects with various ML topics for multiple years before coming to Text-to-Speech (Classical ML, NLP, CV). I expected that the general pipeline would be pretty similar: dataset, model, train/val loss, etc. But after some…