Build a deep neural network for the keyword spotting (KWS) task with nnAudio GPU audio processing

Dealing with audio can complicate any machine learning task. In this tutorial, we go over how to build a neural network in PyTorch by directly feeding it audio files that are directly converted into finetunable spectrograms. To do this, we use nnAudio [1] and PyTorch.

This tutorial will build a classifier on the Google speech commands dataset v2 for the Key Word Spotting (KWS) task. KWS is a sound classification problem. Our model will predict the word (text) that matches …

ai audio deep learning deep neural network gpu network neural network processing spectrogram speech