Brainstorming on why it’s still impossible to use deep learning to learn the Fast Fourier Transform
The Fourier transform allows one to take a time domain signal and turn it into frequencies with no loss of information. It’s still at the front end of the vast majority of speech and audio ML systems, despite some pressure from learned kernels like TasNet. The complexity of the fast fourier transform is N log […]