Book Image

Rapid BeagleBoard Prototyping with MATLAB and Simulink

Book Image

Rapid BeagleBoard Prototyping with MATLAB and Simulink

Overview of this book

As an open source embedded single-board computer with many standard interfaces, Beagleboard is ideal for building embedded audio/video systems to realize your practical ideas. The challenge is how to design and implement a good digital processing algorithm on Beagleboard quickly and easily without intensive low-level coding. Rapid BeagleBoard Prototyping with MATLAB and Simulink is a practical, hands-on guide providing you with a number of clear, step-by-step exercises which will help you take advantage of the power of Beagleboard and give you a good grounding in rapid prototyping techniques for your audio/video applications. Rapid BeagleBoard Prototyping with MATLAB and Simulink looks at rapid prototyping and how to apply these techniques to your audio/video applications with Beagleboard quickly and painlessly without intensive manual low-level coding. It will take you through a number of clear, practical recipes that will help you to take advantage of both the Beagleboard hardware platform and Matlab/Simulink signal processing. We will also take a look at building S-function blocks that work as hardware drivers and interfaces for Matlab/Simulink. This gives you more freedom to explore the full range of advantages provided by Beagleboard. By the end of this book, you will have a clear idea about Beagleboard and Matlab/Simulink rapid prototyping as well as how to develop voice recognition systems, motion detection systems with I/O access, and serial communication for your own applications such as a smart home.
Table of Contents (15 chapters)
Rapid BeagleBoard Prototyping with MATLAB and Simulink
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Chapter 6. Voice Recognition

Audio and speech processing systems have become very common in the everyday lives of people, from film studios and portable music players to Voice over Internet Protocol (VoIP) systems such as Skype. In this chapter, we look at how to use speech processing techniques and MATLAB/Simulink rapid prototyping to build a voice recognition system.

This chapter begins with an overview of digital audio signals before considering signal processing. Then we look at the general structure and workflow of voice recognition systems, which contains usually two parts: training and recognition. A section on feature extraction covers the audio feature extraction techniques, followed by a section on the training procedure and pattern analysis. The last section on recognition demonstrates the voice recognition system that determines which voice command the utterance of an unknown input voice is.

This chapter will cover the following topics in a step-by-step manner:

  • Setting up and connecting...