Registration Number
2124U014669, Article
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Стаття
Title
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Mamyrbayev Orken
Pavlov Sergii
Bekarystankyzy Akbayan
Oralbekova Dina
Zhumazhanov Bagashar
Azarova Larysa
Mussayeva Dinara
Koval Tetiana
Gromaszek Konrad
Issimov Nurdaulet
Shiyapov Kadrzhan
Павлов С. В.
Азарова Л. Є.
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11-04-2024
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Вінницький національний технічний університет
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http://ir.lib.vntu.edu.ua/handle/123456789/41441
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Society of Photo-Optical Instrumentation Engineers
Description
Nowadays, speech-processing technologies with different language systems are successfully used in mobile and stationary devices. Kazakh is considered a low-resource language, which poses various challenges for conventional speech recognition methods. This paper presents a proposed model capable of multitasking and handling concurrent speech recognition, dialect identification, and speaker identification, all in an end-to-end framework. The developed multitask model enables training three different tasks within a single model. A multitask recognition system is created based on the WaveNet-CTC model. Experiments show that for the concrete task end-to-end multitask model has better performance than other models..
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2026-10-26
