Building robot voice control training methodology using artificial neural net
Електронного архіву Харківського національного університету радіоелектроніки (Open Access Repository of KHNURE)
Переглянути архів Інформація| Поле | Співвідношення | |
| Title |
Building robot voice control training methodology using artificial neural net
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| Creator |
Matarneh, R.
Maksymova, S. Deineko, Z. Lyashenko, V. |
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| Subject |
Building Robot
Voice Control |
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| Description |
The article describes using artificial neural net for speech recognition. This is necessary for the automation of construction work. We selected multi-layer perceptron for separate words recognition tasks. We researcheddifferent forms of hidden layer. And we made a conclusion that for voice commands analysis tasks solution it is expedient to use multi-layer perceptron with linearized functions (the best result was achieved using model with hidden layer with linearized hyperbolic tangent function). We use this experience to train robots in civil engineering.
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| Date |
2018-06-26T10:11:28Z
2018-06-26T10:11:28Z 2017 |
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| Type |
Article
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| Identifier |
Matarneh R., Maksymova S., Deineko Z., Lyashenko V. Building Robot Voice Control Training Methodology Using Artificial Neural Net // International Journal of Civil Engineering and Technology. – 2017. – Vol. 8(10). – P. 523–532.
0976-6308 http://openarchive.nure.ua/handle/document/6389 |
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| Language |
en
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| Publisher |
IAEME publication
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