You're reading from TinyML Cookbook Combine machine learning with microcontrollers to solve real-world problems

Product type Paperback

Published in Nov 2023

Publisher Packt

ISBN-13 9781837637362

Length 664 pages

Edition 2nd Edition

Languages

Python

Tools

Combine

Concepts

Machine Learning

Author (1):

Gian Marco Iodice

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Table of Contents (16) Chapters

Preface

1. Getting Ready to Unlock ML on Microcontrollers FREE CHAPTER

2. Unleashing Your Creativity with Microcontrollers

3. Building a Weather Station with TensorFlow Lite for Microcontrollers

4. Using Edge Impulse and the Arduino Nano to Control LEDs with Voice Commands

5. Recognizing Music Genres with TensorFlow and the Raspberry Pi Pico – Part 1

6. Recognizing Music Genres with TensorFlow and the Raspberry Pi Pico – Part 2

7. Detecting Objects with Edge Impulse Using FOMO on the Raspberry Pi Pico

8. Classifying Desk Objects with TensorFlow and the Arduino Nano

9. Building a Gesture-Based Interface for YouTube Playback with Edge Impulse and the Raspberry Pi Pico

10. Deploying a CIFAR-10 Model for Memory-Constrained Devices with the Zephyr OS on QEMU

11. Running ML Models on Arduino and the Arm Ethos-U55 microNPU Using Apache TVM

12. Enabling Compelling tinyML Solutions with On-Device Learning and scikit-learn on the Arduino Nano and Raspberry Pi Pico

13. Conclusion

14. Other Books You May Enjoy

15. Index

Using Edge Impulse and the Arduino Nano to Control LEDs with Voice Commands

Have you ever wondered how smart assistants can enable a hands-free experience with your devices? The answer lies in keyword spotting (KWS) technology, which recognizes the popular wake word phrases of OK Google, Alexa, Hey Siri, or Cortana. By identifying these phrases, the smart assistant wakes up and listens to your commands. Since KWS uses real-time speech recognition models, it must be on-device, always on, and running on a low-power system to be effective.

In this chapter, we will demonstrate the usage of KWS through Edge Impulse by building an application to voice control a light-emitting diode (LED) that emits a colored light (red, green, or blue) a certain amount of times (one, two, or three blinks) on the Arduino Nano.

This chapter will begin with dataset preparation, showing you how to acquire audio data with a mobile phone and the built-in microphone on the Arduino Nano....

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You're reading from TinyML Cookbook Combine machine learning with microcontrollers to solve real-world problems

Table of Contents (16) Chapters

Using Edge Impulse and the Arduino Nano to Control LEDs with Voice Commands

Authors (1)

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You're reading from TinyML Cookbook Combine machine learning with microcontrollers to solve real-world problems

Table of Contents (16) Chapters

Using Edge Impulse and the Arduino Nano to Control LEDs with Voice Commands

Unlock this book and the full library FREE for 7 days

Authors (1)

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