Research of Language Recognition Methods Based on Machine Learning

被引：0

作者：

Khabarov, Dmitry L. ^{[1
]}

Bazanov, Vadim V. ^{[1
]}

Kuchebo, Anna, V ^{[1
]}

Zavgorodnii, Maksim ^{[1
]}

Rybakova, Anastasia Y. ^{[2
]}

机构：

[1] Natl Res Nucl Univ MEPhI, Moscow Engn Phys Inst, Moscow, Russia

[2] Kazan Natl Res Technol Univ, Kazan, Russia

来源：

PROCEEDINGS OF THE 2021 IEEE CONFERENCE OF RUSSIAN YOUNG RESEARCHERS IN ELECTRICAL AND ELECTRONIC ENGINEERING (ELCONRUS) | 2021年

关键词：

machine learning; speech recognition; neural networks; machine hearing; language determination;

D O I：

10.1109/ElConRus51938.2021.9396491

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This article is focused on speech recognition methods research and analysis of their efficiency. It presents a review of the most known ways to convert a person's speech into text, their effectiveness, and complexity in exploitation. The article scribes the application of machine learning in speech recognition tasks. A program was developed with a neural network for the research realization - a new technique of speech translation automation. The experiment provides information about comparing methods of speech recognition and analyzing the results of using them. Conclusions about the further realization of the research were drawn based on these results.

引用

页码：438 / 442

页数：5

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