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TinyML Cookbook - Second Edition

You're reading from  TinyML Cookbook - Second Edition

Product type Book
Published in Nov 2023
Publisher Packt
ISBN-13 9781837637362
Pages 664 pages
Edition 2nd Edition
Languages
Author (1):
Gian Marco Iodice Gian Marco Iodice
Profile icon Gian Marco Iodice
Toc

Table of Contents (16) Chapters close

Preface 1. Getting Ready to Unlock ML on Microcontrollers 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

Acquiring audio data with the Arduino Nano

Building the dataset with recordings obtained with the mobile phone’s microphone is undoubtedly good enough for many applications. However, to prevent any potential loss in accuracy during the model’s deployment, we should also include audio clips recorded with the microphone used by the end application in the dataset.

Therefore, this recipe will show you how to record audio samples with the built-in microphone on the Arduino Nano through Edge Impulse.

Getting ready

In the previous recipe, you will have noticed that in the options reported in the Collect data section, the mobile phone was not the only one, as shown in the following screenshot:

Figure 4.9: Some of the options available to collect data in Edge Impulse

For example, as reported in the previous screenshot, you can collect data using your computer’s microphone or a fully supported microcontroller board.

If you click on the Connect...

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