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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

Recording audio samples with the Raspberry Pi Pico

Like any ML project, we need to prepare a dataset. For our purposes, the audio clips will be acquired with the microphone connected to the microcontroller. This choice will help us obtain an ML model with high accuracy because the samples derive from the exact microphone used in the final application.

In this recipe, we will create an Arduino sketch to record audio clips of 4 seconds with the Raspberry Pi Pico. The audio samples will then be transmitted over the serial connection and transformed into audio files in the following recipe.

Getting ready

Microcontrollers can be employed to build fully functional digital audio recorders when paired with a microphone.

To accomplish this task with our microphone, we must develop a program to sample the audio analog signal at regular intervals, also known as the sample rate.

To create the correct digital representation, we must consider the following:

  • The sample...
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