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34
M23

Mamyrbayev, O.
    Modern trends in development of speech recognition systems [Текст] / O. Mamyrbayev, D. Oralbekova // News of the National Academy of sciences of the Republic of Kazakhstan. - 2020. - №4. - P. 42-51
ББК 34

Рубрики: Technics

Кл.слова (ненормированные):
automatic speech recognition -- hidden markov models -- end-to-end -- neural networks -- ctc
Аннотация: This article presents the main ideas, advantages and disadvantages of models based on hidden Markov models - a Gaussian mixture models, end-to-end models and indicates that the end-to-end model is a developing area in the filed of speech recognition.
Держатели документа:
WKU
Доп.точки доступа:
Oralbekova, D.

Mamyrbayev, O. Modern trends in development of speech recognition systems [Текст] / O. Mamyrbayev, D. Oralbekova // News of the National Academy of sciences of the Republic of Kazakhstan. - 2020. - №4.- P.42-51

1.

Mamyrbayev, O. Modern trends in development of speech recognition systems [Текст] / O. Mamyrbayev, D. Oralbekova // News of the National Academy of sciences of the Republic of Kazakhstan. - 2020. - №4.- P.42-51


34
M23

Mamyrbayev, O.
    Modern trends in development of speech recognition systems [Текст] / O. Mamyrbayev, D. Oralbekova // News of the National Academy of sciences of the Republic of Kazakhstan. - 2020. - №4. - P. 42-51
ББК 34

Рубрики: Technics

Кл.слова (ненормированные):
automatic speech recognition -- hidden markov models -- end-to-end -- neural networks -- ctc
Аннотация: This article presents the main ideas, advantages and disadvantages of models based on hidden Markov models - a Gaussian mixture models, end-to-end models and indicates that the end-to-end model is a developing area in the filed of speech recognition.
Держатели документа:
WKU
Доп.точки доступа:
Oralbekova, D.

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