Audio processing in TensorFlow – Towards Data Science – Medium

There are countless ways to perform audio processing. The usual flow for running experiments with Artificial Neural Networks in TensorFlow with audio inputs is to first preprocess the audio, then feed it to the Neural Net. What happens though when one wants to perform audio processing somewhere in the middle of the computation graph? TensorFlow comes with an implementation of the Fast Fourier Transform, but it is not enough. In this post we will explain how we implemented it and provide the code so that the Short Time Fourier Transform can be used anywhere in the computation graph.