Automatic Speech Recognition on Mobile Devices and over Communication Networks

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.

This book brings together leading academic researchers and industrial practitioners to address the issues in this emerging realm. It covers networked, distributed and embedded speech recognition systems, which are expected to co-exist in the future. The book is divided into four parts: networked speech recognition, distributed speech recognition, embedded speech recognition, and systems and applications. A profound and unified introduction about this area and its latest development is provided, as well as working knowledge needed for research and practical application deployment. This book covers the most up-to-date standards and a number of systems.

This all-inclusive reference is an essential read for graduate students, scientists and engineers working or researching in the field of speech recognition and processing.

Provides a profound and unified introduction about the topic and its latest development Presents working knowledge needed for research and practical application deployment Broad coverage spanning from networked, distributed to embedded systems, which are expected to coexist in the future Covers the most up-to-date standards and a number of off-the-shelf systems

Inhalt
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.