A method for extracting the semantic features of speech signal recognition based on empirical wavelet transform

A method for extracting the semantic features of speech signal recognition based on empirical wavelet transform

The subject of this study is methods for improving the efficiency of semantic coding of speech signals. The purpose of this study is to develop a method for improving the efficiency of semantic coding of speech signals. Coding efficiency refers to the reduction of the information transmission rate w...

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Bibliographic Details
Main Authors: Oleksandr Lavrynenko, Denys Bakhtiiarov, Vitalii Kurushkin, Serhii Zavhorodnii, Veniamin Antonov, Petro Stanko
Format: Article
Language:English
Published: National Aerospace University «Kharkiv Aviation Institute» 2023-09-01
Series:Радіоелектронні і комп'ютерні системи
Subjects:
semantic features of speech signals
mel-frequency cepstral coefficients
adaptive spectral analysis
empirical wavelet transform
adaptive wavelet-filters meyer
functions of internal empirical modes
hilbert spectral analysis
optimal threshold proces
Online Access:http://nti.khai.edu/ojs/index.php/reks/article/view/2121

Internet

http://nti.khai.edu/ojs/index.php/reks/article/view/2121

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