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.

"In the last decade the remarkable advances in computing and networking have sparked an enormous interest in deploying automatic speech recognition in devices and networks, and the trend is accelerating.

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.