CONTINUOUS SPEECH RECOGNITION OF KAZAKH LANGUAGE

被引：2

作者：

Mamyrbayev, Orken ^{[1
]}

Turdalyuly, Mussa ^{[1
]}

Mekebayev, Nurbapa ^{[2
]}

Mukhsina, Kuralay ^{[2
]}

Keylan, Alimukhan ^{[1
]}

BabaAli, Bagher ^{[1
]}

Nabieva, Gulnaz ^{[1
]}

Duisenbayeva, Aigerim ^{[2
]}

Akhmetov, Bekturgan ^{[1
]}

机构：

[1] Inst Informat & Computat Technol, Alma Ata, Kazakhstan

[2] Al Farabi Kazakh Natl Univ, Informat Technol Dept, Alma Ata, Kazakhstan

来源：

AMCSE 2018 - INTERNATIONAL CONFERENCE ON APPLIED MATHEMATICS, COMPUTATIONAL SCIENCE AND SYSTEMS ENGINEERING | 2019年 / 24卷

关键词：

D O I：

10.1051/itmconf/20192401012

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This article describes the methods of creating a system of recognizing the continuous speech of Kazakh language. Studies on recognition of Kazakh speech in comparison with other languages began relatively recently, that is after obtaining independence of the country, and belongs to low resource languages. A large amount of data is required to create a reliable system and evaluate it accurately. A database has been created for the Kazakh language, consisting of a speech signal and corresponding transcriptions. The continuous speech has been composed of 200 speakers of different genders and ages, and the pronunciation vocabulary of the selected language. Traditional models and deep neural networks have been used to train the system. As a result, a word error rate (WER) of 30.01% has been obtained.

引用

页数：5

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