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TinyML Cookbook

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

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Product type Paperback
Published in Nov 2023
Publisher Packt
ISBN-13 9781837637362
Length 664 pages
Edition 2nd Edition
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Author (1):
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Gian Marco Iodice Gian Marco Iodice
Author Profile Icon Gian Marco Iodice
Gian Marco Iodice
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Table of Contents (16) Chapters Close

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

Keyword spotting on the Arduino Nano

As you might have guessed, it is time to deploy the KWS application on the Arduino Nano.

In this recipe, we will show how to do so with the help of Edge Impulse.

Getting ready

The application on the Arduino Nano will be based on the nano_ble33_sense_microphone_continuous.cpp example provided by Edge Impulse, which implements a real-time KWS application. Before adjusting this code sample, we want to examine how it works to get ready for this final recipe.

Learning how a real-time KWS application works

A real-time KWS application—for example, the one used in a smart assistant—should capture and process all pieces of the audio stream to never miss any events. Therefore, the application must record audio and run inference simultaneously so we do not miss any information.

On a microcontroller, parallel tasks can be performed in two ways:

  • With a real-time OS (RTOS...
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