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Automatic speech recognition on mobile devices and over communication networks

✍ Scribed by Zheng-Hua Tan BSc, MSc, PhD, Børge Lindberg MSc (auth.)


Publisher
Springer-Verlag London
Year
2008
Tongue
English
Leaves
404
Series
Advances in pattern recognition
Edition
1
Category
Library

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✦ Synopsis


The remarkable advances in computing and networking have sparked an enormous interest in deploying automatic speech recognition on mobile devices and over communication networks. This trend is accelerating.

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.

Key features:

β€’ Provides an in-depth review of network speech recognition, distributed speech recognition, embedded speech recognition, systems and applications

β€’ Begins with a comprehensive overview of the subject, discussing the pros and cons of the presented approaches, and guiding the reader through the following chapters

β€’ Includes platforms like mobile phones, PDAs and automobiles

β€’ Presents state-of-the-art methods, advanced systems, and the latest standards

β€’ Offers working knowledge needed for both research and practice

β€’ References supplemental material at associated complementary website at: http://asr.es.aau.dk

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.

✦ Table of Contents


Front Matter....Pages i-xx
Network, Distributed and Embedded Speech Recognition: An Overview....Pages 1-23
Speech Coding and Packet Loss Effects on Speech and Speaker Recognition....Pages 27-39
Speech Recognition Over Mobile Networks....Pages 41-61
Speech Recognition Over IP Networks....Pages 63-84
Distributed Speech Recognition Standards....Pages 87-106
Speech Feature Extraction and Reconstruction....Pages 107-130
Quantization of Speech Features: Source Coding....Pages 131-161
Error Recovery: Channel Coding and Packetization....Pages 163-185
Error Concealment....Pages 187-210
Algorithm Optimizations: Low Computational Complexity....Pages 213-231
Algorithm Optimizations: Low Memory Footprint....Pages 233-254
Fixed-Point Arithmetic....Pages 255-275
Software Architectures for Networked Mobile Speech Applications....Pages 279-299
Speech Recognition in Mobile Phones....Pages 301-325
Handheld Speech to Speech Translation System....Pages 327-346
Automotive Speech Recognition....Pages 347-373
Energy Aware Speech Recognition for Mobile Devices....Pages 375-396
Back Matter....Pages 397-401

✦ Subjects


User Interfaces and Human Computer Interaction; Signal, Image and Speech Processing; Pattern Recognition; Computer Communication Networks; Artificial Intelligence (incl. Robotics); Information Systems and Communication Service


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