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Robust digital processing of speech ...

Kovacevic, Branko.

Robust digital processing of speech signals

Record Type:	Electronic resources : Monograph/item
Title/Author:	Robust digital processing of speech signalsby Branko Kovacevic ... [et al.].
other author:	Kovacevic, Branko.
Published:	Cham :Springer International Publishing :2017.
Description:	xii, 224 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Speech processing systems.
Online resource:	http://dx.doi.org/10.1007/978-3-319-53613-2
ISBN:	9783319536132$q(electronic bk.)

Robust digital processing of speech signals
Robust digital processing of speech signals[electronic resource] /by Branko Kovacevic ... [et al.]. - Cham :Springer International Publishing :2017. - xii, 224 p. :ill., digital ;24 cm.

Modelling of Speech Signal -- Review of Standard Methods -- Fundamentals of Robust Parameter Estimation -- Robust Nonrecursive AR Analysis of Speech Signals -- Robust Recursive AR Analysis of Speech Signals -- Robust Estimation Based on Pattern Recognition -- Application of Robust Estimators in Speech Signal Processing.

This book focuses on speech signal phenomena, presenting a robustification of the usual speech generation models with regard to the presumed types of excitation signals, which is equivalent to the introduction of a class of nonlinear models and the corresponding criterion functions for parameter estimation. Compared to the general class of nonlinear models, such as various neural networks, these models possess good properties of controlled complexity, the option of working in "online" mode, as well as a low information volume for efficient speech encoding and transmission. Providing comprehensive insights, the book is based on the authors' research, which has already been published, supplemented by additional texts discussing general considerations of speech modeling, linear predictive analysis and robust parameter estimation.

ISBN: 9783319536132$q(electronic bk.)

Standard No.: 10.1007/978-3-319-53613-2doiSubjects--Topical Terms:

184755
Speech processing systems.

LC Class. No.: TK7882.S65

Dewey Class. No.: 621.399

Robust digital processing of speech signals
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245 0 0 $a Robust digital processing of speech signals $h [electronic resource] / $c by Branko Kovacevic ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a xii, 224 p. : $b ill., digital ; $c 24 cm.
505 0 $a Modelling of Speech Signal -- Review of Standard Methods -- Fundamentals of Robust Parameter Estimation -- Robust Nonrecursive AR Analysis of Speech Signals -- Robust Recursive AR Analysis of Speech Signals -- Robust Estimation Based on Pattern Recognition -- Application of Robust Estimators in Speech Signal Processing.
520 $a This book focuses on speech signal phenomena, presenting a robustification of the usual speech generation models with regard to the presumed types of excitation signals, which is equivalent to the introduction of a class of nonlinear models and the corresponding criterion functions for parameter estimation. Compared to the general class of nonlinear models, such as various neural networks, these models possess good properties of controlled complexity, the option of working in "online" mode, as well as a low information volume for efficient speech encoding and transmission. Providing comprehensive insights, the book is based on the authors' research, which has already been published, supplemented by additional texts discussing general considerations of speech modeling, linear predictive analysis and robust parameter estimation.
650 0 $a Speech processing systems. $3 184755
650 0 $a Signal processing $x Digital techniques. $3 182126
650 0 $a Error-correcting codes (Information theory) $3 184310
650 1 4 $a Engineering. $3 210888
650 2 4 $a Signal, Image and Speech Processing. $3 273768
650 2 4 $a Language Translation and Linguistics. $3 274469
650 2 4 $a Computational Intelligence. $3 338479
700 1 $a Kovacevic, Branko. $3 737662
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856 4 0 $u http://dx.doi.org/10.1007/978-3-319-53613-2
950 $a Engineering (Springer-11647)