Robust Digital Processing of Speech Signals

Nonfiction, Science & Nature, Technology, Electronics, Computers, Advanced Computing
Cover of the book Robust Digital Processing of Speech Signals by Branko Kovacevic, Milan M. Milosavljevic, Mladen Veinović, Milan Marković, Springer International Publishing
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Author: Branko Kovacevic, Milan M. Milosavljevic, Mladen Veinović, Milan Marković ISBN: 9783319536132
Publisher: Springer International Publishing Publication: June 6, 2017
Imprint: Springer Language: English
Author: Branko Kovacevic, Milan M. Milosavljevic, Mladen Veinović, Milan Marković
ISBN: 9783319536132
Publisher: Springer International Publishing
Publication: June 6, 2017
Imprint: Springer
Language: English

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.

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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.

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