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Developing IoT Projects with ESP32

You're reading from   Developing IoT Projects with ESP32 Unlock the full Potential of ESP32 in IoT development to create production-grade smart devices

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Product type Paperback
Published in Nov 2023
Publisher Packt
ISBN-13 9781803237688
Length 578 pages
Edition 2nd Edition
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Author (1):
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Vedat Ozan Oner Vedat Ozan Oner
Author Profile Icon Vedat Ozan Oner
Vedat Ozan Oner
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Table of Contents (15) Chapters Close

Preface 1. Introduction to IoT development and the ESP32 platform 2. Understanding the Development Tools FREE CHAPTER 3. Using ESP32 Peripherals 4. Employing Third-Party Libraries in ESP32 Projects 5. Project – Audio Player 6. Using Wi-Fi Communication for Connectivity 7. ESP32 Security Features for Production-Grade Devices 8. Connecting to Cloud Platforms and Using Services 9. Project – Smart Home 10. Machine Learning with ESP32 11. Developing on Edge Impulse 12. Project – Baby Monitor 13. Other Books You May Enjoy
14. Index

Developing a speech recognition application

Speech recognition is another field where ML algorithms can do a very good job and Espressif invests a lot in this field in terms of both hardware and software. The ESP32-S3 series of MCUs is a response to the advancements in ML. When we look at the ESP32-S3 technical reference manual, we see that ESP32-S3 has an extended instruction set to support 128-bit vector operations with an additional eight 128-bit general-purpose registers. Having a Single Instruction, Multiple Data (SIMD) paradigm in mind, the ESP32-S3 Arithmetic Logic Unit (ALU) is capable of, for example, processing 16 8-bit vectors in a single instruction with this extended instruction set, or Processor Instruction Extensions (PIEs), as they’re called in the ESP32-S3 technical reference.

Espressif supports this hardware with advanced frameworks and libraries. Here is a short summary of them:

  • ESP-DSP: The Digital Signal Processing (DSP) library for vector...
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