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Robust Digital Processing of Speech Signals / by Branko Kovacevic, Milan M. Milosavljevic, Mladen Veinović, Milan Marković.

Springer Nature - Complete eBooks Available online

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Format:
Book
Author/Creator:
Kovačević, Branko, Author.
Milosavljevic, Milan M., Author.
Veinović, Mladen., Author.
Marković, Milan., Author.
Language:
English
Subjects (All):
Signal processing.
Image processing.
Speech processing systems.
Natural language processing (Computer science).
Computational intelligence.
Signal, Image and Speech Processing.
Natural Language Processing (NLP).
Computational Intelligence.
Local Subjects:
Signal, Image and Speech Processing.
Natural Language Processing (NLP).
Computational Intelligence.
Physical Description:
1 online resource (XII, 224 p. 54 illus.)
Edition:
1st ed. 2017.
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2017.
Summary:
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.
Contents:
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.
Notes:
Includes bibliographical references and index.
ISBN:
3-319-53613-3

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