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Titlebook: Speech Processing in Embedded Systems; Priyabrata Sinha Book 2010 Springer-Verlag US 2010 Embedded System.Interface.Standards.algorithms.d

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书目名称Speech Processing in Embedded Systems
编辑Priyabrata Sinha
视频videohttp://file.papertrans.cn/875/874011/874011.mp4
概述Provides insight into the role of speech-compression techniques in a variety of embedded applications.Discusses the advantages and technical considerations associated with incorporating speech-compres
图书封面Titlebook: Speech Processing in Embedded Systems;  Priyabrata Sinha Book 2010 Springer-Verlag US 2010 Embedded System.Interface.Standards.algorithms.d
描述.Speech Processing has rapidly emerged as one of the most widespread and well-understood application areas in the broader discipline of Digital Signal Processing. Besides the telecommunications applications that have hitherto been the largest users of speech processing algorithms, several non-traditional embedded processor applications are enhancing their functionality and user interfaces by utilizing various aspects of speech processing..."Speech Processing in Embedded Systems" describes several areas of speech processing, and the various algorithms and industry standards that address each of these areas. The topics covered include different types of Speech Compression, Echo Cancellation, Noise Suppression, Speech Recognition and Speech Synthesis. In addition this book explores various issues and considerations related to efficient implementation of these algorithms on real-time embedded systems, including the role played by processor CPU and peripheral functionality..
出版日期Book 2010
关键词Embedded System; Interface; Standards; algorithms; digital signal processing; embedded systems; signal pro
版次1
doihttps://doi.org/10.1007/978-0-387-75581-6
isbn_softcover978-1-4899-8504-0
isbn_ebook978-0-387-75581-6
copyrightSpringer-Verlag US 2010
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Priyabrata Sinhaor the space-time dependence of multi-point correlation functions of the turbulent state in 2- and 3-D are derived. This result is noteworthy in that it does not rely on phenomenological input except from the N978-3-030-39873-6978-3-030-39871-2Series ISSN 2190-5053 Series E-ISSN 2190-5061
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Priyabrata Sinhas could be managed. The mathematical requisites for reading it are: some knowledge of real-variable theory, and matrix theory; and a little knowledge of complex-variable; the emphasis is on real-variable methods. (There is only one part of the book, the second part of 55.5, which is of rather specia
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Priyabrata Sinha implementations are available in the literature, a comparison in terms of pattern detection accuracy of some NMF algorithms will be reported and discussed, and the NMF performance for MRS data analysis will be compared with that of other blind source separation (BSS) techniques.
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