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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.

34
N93

Nurtas, M.
    Convulutional neural networks as a method to solve estimation problem of acoustic wave propagation in poroelastic media [Текст] / M. Nurtas, Zh. Baishemirov [et al.] // News of the National Academy of sciences of the Republic of Kazakhstan. - 2020. - №4. - Р. 42-60
ББК 34

Рубрики: Technics

Кл.слова (ненормированные):
newral network -- convolutional neural network -- acoustic wave propagation -- predicting models -- supervised learning -- activation function -- pytorch
Аннотация: This article concerns the problem of the acoustic wave propagation in the 3 layered half-space.
Держатели документа:
WKU
Доп.точки доступа:
Baishemirov, Zh.
Tsay, V.
Tastanov, M.
Zhanabekov, Zh.

Nurtas, M. Convulutional neural networks as a method to solve estimation problem of acoustic wave propagation in poroelastic media [Текст] / M. Nurtas, Zh. Baishemirov [et al.] // News of the National Academy of sciences of the Republic of Kazakhstan. - 2020. - №4.- Р.42-60

2.

Nurtas, M. Convulutional neural networks as a method to solve estimation problem of acoustic wave propagation in poroelastic media [Текст] / M. Nurtas, Zh. Baishemirov [et al.] // News of the National Academy of sciences of the Republic of Kazakhstan. - 2020. - №4.- Р.42-60


34
N93

Nurtas, M.
    Convulutional neural networks as a method to solve estimation problem of acoustic wave propagation in poroelastic media [Текст] / M. Nurtas, Zh. Baishemirov [et al.] // News of the National Academy of sciences of the Republic of Kazakhstan. - 2020. - №4. - Р. 42-60
ББК 34

Рубрики: Technics

Кл.слова (ненормированные):
newral network -- convolutional neural network -- acoustic wave propagation -- predicting models -- supervised learning -- activation function -- pytorch
Аннотация: This article concerns the problem of the acoustic wave propagation in the 3 layered half-space.
Держатели документа:
WKU
Доп.точки доступа:
Baishemirov, Zh.
Tsay, V.
Tastanov, M.
Zhanabekov, Zh.

Страница 1, Результатов: 2

 

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