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Introduction to Programming with Fortran: with coverage of Fortran 90, 95, 2003 and 77
Introduction to Programming with Fortran - with coverage of Fortran 90, 95, 2003 and 77
MATLAB - Modelling, Programming and Simulations
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Programming Automatic Speech Recognition on Mobile Devices and over Communication Networks
Posted on 2010-03-15
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More Automatic Speech Recognition on Mobile Devices and over Communication Networks (Advances in Pattern Recognition) By Tan, Zheng-hua (Editor) 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. * Provides an in-depth review of network speech recognition, distributed speech recognition, embedded speech recognition, systems and applications * 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 * Includes platforms like mobile phones, PDAs and automobiles * Presents state-of-the-art methods, advanced systems, and the latest standards * Offers working knowledge needed for both research and practice * 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. RS & FF: OR
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