We can now create a musical fingerprint of a song using FFT. If we do that for a couple of songs and manually assign their corresponding genres as labels, we have the training data that we can feed into our first classifier.
Using FFT to build our first classifier
Increasing experimentation agility
Before we dive into classifier training, let's think about experimentation agility. Although we have the word "fast" in FFT, it is much slower than the creation of the features in our text-based chapters. And because we are still in an experimentation phase, we might want to think about how we could speed up the whole feature-creation process.
Of course, the creation of the FFT per file will be the same each time...
