Automatic Speech Recognition on Mobile Devices and over Communication Networks / Edition 1

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"This book brings together leading 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, which are expected to co-exist in the future. It offers a wide-ranging, unified approach to the topic and its latest development, also covering the most up-to-date standards and several off-the-shelf systems." This all-inclusive text/reference is an essential read for graduate students, scientists and engineers working or researching in the field of speech recognition and processing. It offers a self-contained approach to this hot research topic.
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Editorial Reviews

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"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)

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Product Details

Table of Contents

Networked, Distributed and Embedded Speech Recognition: An Overview.- Speech Coding and Packet Loss Effects on Speech and Speaker.- Speech Recognition over Mobile Networks.- Speech Recognition over IP Networks.- Distributed Speech Recognition Standards.- Speech Feature Extraction and Reconstruction.- Quantization of Speech Features: Source Coding.- Error Recovery: Channel Coding and Packetization.- Error Concealment.- Algorithm Optimizations: Low Computational Complexity.- Algorithm Optimizations: Low Memory Footprint.- Fixed-point Arithmetic.- 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.

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