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Digital Speech Transmission and Enhancement
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Digital Speech Transmission and Enhancement

Book Details

Format Hardback or Cased Book
Book Series IEEE Press
ISBN-10 1119060966
ISBN-13 9781119060963
Publisher John Wiley & Sons Inc
Imprint Wiley-IEEE Press
Country of Manufacture GB
Country of Publication GB
Publication Date Dec 29th, 2023
Print length 592 Pages
Weight 1,154 grams
Dimensions 17.70 x 25.10 x 4.00 cms
Ksh 17,100.00
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DIGITAL SPEECH TRANSMISSION AND ENHANCEMENT Enables readers to understand the latest developments in speech enhancement/transmission due to advances in computational power and device miniaturization The Second Edition of Digital Speech Transmission and Enhancement has been updated throughout to provide all the necessary details on the latest advances in the theory and practice in speech signal processing and its applications, including many new research results, standards, algorithms, and developments which have recently appeared and are on their way into state-of-the-art applications. Besides mobile communications, which constituted the main application domain of the first edition, speech enhancement for hearing instruments and man-machine interfaces has gained significantly more prominence in the past decade, and as such receives greater focus in this updated and expanded second edition. Readers can expect to find information and novel methods on: Low-latency spectral analysis-synthesis, single-channel and dual-channel algorithms for noise reduction and dereverberationMulti-microphone processing methods, which are now widely used in applications such as mobile phones, hearing aids, and man-computer interfacesAlgorithms for near-end listening enhancement, which provide a significantly increased speech intelligibility for users at the noisy receiving side of their mobile phoneFundamentals of speech signal processing, estimation and machine learning, speech coding, error concealment by soft decoding, and artificial bandwidth extension of speech signals Digital Speech Transmission and Enhancement is a single-source, comprehensive guide to the fundamental issues, algorithms, standards, and trends in speech signal processing and speech communication technology, and as such is an invaluable resource for engineers, researchers, academics, and graduate students in the areas of communications, electrical engineering, and information technology.

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