Audio ML on Pi

In the past decade, machine learning (ML) has taken the world by storm. It’s everywhere from facial recognition to predictive text to self-driving cars, and we keep hearing about novel applications of ML seemingly every day. In this chapter, you’ll use Python and TensorFlow to develop an ML-based speech recognition system that will run on an inexpensive Raspberry Pi computer.

Speech recognition systems are already deployed in a huge number of devices and appliances in the form of voice assistants such as Alexa, Google, and Siri. These systems can perform tasks ranging from setting reminders to switching on your home lights ...

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