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OverviewThis 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. Full Product DetailsAuthor: Branko Kovacevic , Milan M. Milosavljevic , Mladen Veinović , Milan MarkovićPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: Softcover reprint of the original 1st ed. 2017 Weight: 3.635kg ISBN: 9783319851976ISBN 10: 3319851977 Pages: 224 Publication Date: 01 August 2018 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsModelling 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.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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