Overview
- Presents results of long-term cooperation in the research on speech signal processing
- Highlights the significance of speech generation modeling
- Introduces an innovative robust algorithm for digital speech signal processing
- Includes supplementary material: sn.pub/extras
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About this book
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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Keywords
Table of contents (7 chapters)
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Front Matter
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Back Matter
Authors and Affiliations
Bibliographic Information
Book Title: Robust Digital Processing of Speech Signals
Authors: Branko Kovacevic, Milan M. Milosavljevic, Mladen Veinović, Milan Marković
DOI: https://doi.org/10.1007/978-3-319-53613-2
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Academic Mind and Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-53611-8Published: 15 June 2017
Softcover ISBN: 978-3-319-85197-6Published: 01 August 2018
eBook ISBN: 978-3-319-53613-2Published: 06 June 2017
Edition Number: 1
Number of Pages: XII, 224
Number of Illustrations: 54 b/w illustrations
Topics: Signal, Image and Speech Processing, Natural Language Processing (NLP), Computational Intelligence