Automatic Speech Recognition on Mobile Devices and over Communication Networks

by Zheng-Hua Tan (Editor), Boerge Lindberg (Editor)

Overview

The advances in computing and networking have sparked an enormous interest in deploying automatic speech recognition on mobile devices and over communication networks. This book brings together academic researchers and industrial practitioners to address the issues in this emerging realm and presents the reader with a comprehensive introduction to the subject of speech recognition in devices and networks. It covers network, distributed and embedded speech recognition systems.

Product Details

ISBN-13:	9781849967365
Publisher:	Springer London
Publication date:	12/09/2010
Series:	Advances in Computer Vision and Pattern Recognition
Edition description:	Softcover reprint of hardcover 1st ed. 2008
Pages:	402
Product dimensions:	6.10(w) x 9.25(h) x 0.03(d)

Table of Contents

Network Speech Recognition.- Network, Distributed and Embedded Speech Recognition: An Overview.- Speech Coding and Packet Loss Effects on Speech and Speaker Recognition.- Speech Recognition Over Mobile Networks.- Speech Recognition Over IP Networks.- Distributed Speech Recognition.- Distributed Speech Recognition Standards.- Speech Feature Extraction and Reconstruction.- Quantization of Speech Features: Source Coding.- Error Recovery: Channel Coding and Packetization.- Error Concealment.- Embedded Speech Recognition.- Algorithm Optimizations: Low Computational Complexity.- Algorithm Optimizations: Low Memory Footprint.- Fixed-Point Arithmetic.- Systems and Applications.- Software Architectures for Networked Mobile Speech Applications.- Speech Recognition in Mobile Phones.- Handheld Speech to Speech Translation System.- Automotive Speech Recognition.- Energy Aware Speech Recognition for Mobile Devices.

Editorial Reviews

From the reviews:

"This book is a collection of papers about speech recognition, in particular on mobile and over-the-network systems. … Each paper is written by a leading researcher or practitioner. … Therefore, the audience is … researchers and engineers in the field of speech recognition. … Overall, this is an important collection of research and best practices in the subfield of speech recognition." (Claudia Popescu, Computing Reviews, March, 2009)

From the Publisher