Small-size spectral features for machine learning in voice signal analysis and classification tasks | Likhachov | Informatics

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ISSN 1816-0301 (Print)
ISSN 2617-6963 (Online)

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Likhachov D.S., Vashkevich M.I., Petrovsky N.A., Azarov E.S. Small-size spectral features for machine learning in voice signal analysis and classification tasks. Informatics. 2023;20(1):102-112. (In Russ.) https://doi.org/10.37661/1816-0301-2023-20-1-102-112

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ISSN 1816-0301 (Print)
ISSN 2617-6963 (Online)

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About the Authors

D. S. Likhachov
Belarusian State University of Informatics and Radioelectronics
Belarus

Denis S. Likhachov, Ph. D. (Eng.), Assoc. Prof. of Computer Engineering Department

st. P. Brovki, 6, Minsk, 220013

M. I. Vashkevich
Belarusian State University of Informatics and Radioelectronics
Belarus

Maxim I. Vashkevich, D. Sc. (Eng.), Assoc. Prof. of Computer Engineering Department

st. P. Brovki, 6, Minsk, 220013

N. A. Petrovsky
Belarusian State University of Informatics and Radioelectronics
Belarus

Nick A. Petrovsky, Ph. D. (Eng.), Assoc. Prof. of Computer Engineering Department

st. P. Brovki, 6, Minsk, 220013

E. S. Azarov
Belarusian State University of Informatics and Radioelectronics
Belarus

Elias S. Azarov, D. Sc. (Eng.), Assoc. Prof., Head of Computer Engineering Department

st. P. Brovki, 6, Minsk, 220013

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