Intro to TensorFlow Lite Part 1: Wake Word Feature Extraction – Maker.io Tutorial | DigiKey

In this tutorial series, Shawn covers the basics for training a neural network with TensorFlow Lite to respond to a spoken word. This neural network model is deployed to a Raspberry Pi, where it can listen for the wake word in real time.

In this episode, we cover the basic steps for most machine learning projects and how to extract useful features from audio samples using Python and Jupyter Notebook. These features are saved to a file, which can be loaded during the neural network training step in the next episode.