Building a Voice-enabled Smart Home TinyML Solution with Cloud Connectivity

Jo Stichbury

10 Dec 2020CPOL7 min read

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In this article we show, a high-level, it is possible to create sophisticated AI-enabled applications that run upon memory-constrained, ultra-low power endpoint devices.

Here we explain how to build a voice-enabled smart assistant that can control common room functions, such as lights and heat. Our example uses TensorFlow Lite for Microcontrollers on an Arm Cortex-M device running Arm Mbed OS.

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This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

Written By

Jo Stichbury

United States

Jo Stichbury is a freelance technical writer with over 20 years’ experience in the software industry. She works with a range of clients, such as QuantumBlack, Improbable Worlds, and SAP, and writes about data science, AI, and games development.

Jo also covers emerging technology and the future of transport (electric & autonomous vehicles). She holds an MA and a PhD in Natural Sciences from the University of Cambridge.

Building a Voice-enabled Smart Home TinyML Solution with Cloud Connectivity

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