Robust digital processing of speech signals
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 est...
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| Main Author: | |
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| Format: | eBook |
| Language: | English |
| Published: |
Cham :
Springer,
2017.
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| Subjects: | |
| ISBN: | 9783319536132 9783319536118 |
| Physical Description: | 1 online resource : color illustrations |
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Table of contents
| 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. |
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| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9783319536132 9783319536118 |
| Access: | Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty |
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