The Development of a Kazakh Speech Recognition Model Using a Convolutional Neural Network with Fixed Character Level Filters

The Development of a Kazakh Speech Recognition Model Using a Convolutional Neural Network with Fixed Character Level Filters

This study is devoted to the transcription of human speech in the Kazakh language in dynamically changing conditions. It discusses key aspects related to the phonetic structure of the Kazakh language, technical considerations in collecting the transcribed audio corpus, and the use of deep neural net...

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Bibliographic Details
Main Authors: Nurgali Kadyrbek, Madina Mansurova, Adai Shomanov, Gaukhar Makharova
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Big Data and Cognitive Computing
Subjects:
automatic speech recognition
deep learning
low-resource
Kazakh
speech corpus
character embedding
Online Access:https://www.mdpi.com/2504-2289/7/3/132

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