To make python code more faster, we can use multiprocessing to map a function to a list. We will also use the implanted solution in tqdm library to show progress bar whilst running the code in multiprocessing manner.

In this tutorial, I will look into how to prepare audio data, and mix it with noise. By doing so, we can generate new examples for free and make our training dataset more generalised. This step is also called data augmentation, this simplest technique usually works better.