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Developing IoT Projects with ESP32 - Second Edition

You're reading from  Developing IoT Projects with ESP32 - Second Edition

Product type Book
Published in Nov 2023
Publisher Packt
ISBN-13 9781803237688
Pages 578 pages
Edition 2nd Edition
Languages
Author (1):
Vedat Ozan Oner Vedat Ozan Oner
Profile icon Vedat Ozan Oner
Toc

Table of Contents (15) Chapters close

Preface 1. Introduction to IoT development and the ESP32 platform 2. Understanding the Development Tools 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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