Publication: Convolution Neural Network Efficiency Research in Gender and Age Classification from Speech
Дата
2021
Авторы
Kuchebo, A. V.
Bazanov, V. V.
Kondratev, I. А.
Kataeva, A. M.
Journal Title
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Volume Title
Издатель
Аннотация
© 2021 IEEE.In this article, deep learning is investigated in the formulated problem of age and gender classification based on a person's speech. We conducted theoretical research of the effectiveness of the methods currently used to identify and verify a person by voice and explored methods of audio preprocessing. The system uses a software package that consists of several interconnected convolutional neural networks. Also, we used open data to train our classification algorithm. In conclusion, we conducted an experiment to analyze the effectiveness of the algorithm in the problem of age and gender classification.
Описание
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Цитирование
Convolution Neural Network Efficiency Research in Gender and Age Classification from Speech / Kuchebo, A.V. [et al.] // Proceedings of the 2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2021. - 2021. - P. 2145-2149. - 10.1109/ElConRus51938.2021.9396365
URI
https://www.doi.org/10.1109/ElConRus51938.2021.9396365
https://www.scopus.com/record/display.uri?eid=2-s2.0-85104798113&origin=resultslist
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https://openrepository.mephi.ru/handle/123456789/23971
https://www.scopus.com/record/display.uri?eid=2-s2.0-85104798113&origin=resultslist
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000669709802038
https://openrepository.mephi.ru/handle/123456789/23971