Using Artificial Intelligence Algorithms for Speech Therapy Systems
Berdanov U.A1, Khujayorov I.Sh2, Abdurashidova K.T3, Salimova Kh.R.4, Musadjanova D.A5
1Berdanov Ulugbek*, Computer Systems Department, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan.
2Khujayorov Ilyos, Computer Systems Department, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan.
3Abdurashidova Kamola, Computer Systems Department, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan.
4Salimova Khusniya, Computer Systems Department, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan.
5Musadjanova Dilobar, Computer Systems Department, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan.
Manuscript received on April 20, 2020. | Revised Manuscript received on April 30, 2020. | Manuscript published on May 10, 2020. | PP: 821-825 | Volume-9 Issue-7, May 2020. | Retrieval Number: G5472059720/2020©BEIESP | DOI: 10.35940/ijitee.G5472.059720
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This article analyzes the algorithms used to process speech signals. A structure for processing Uzbek speech signals has been proposed. Based on this structure, the effectiveness of recognizing Uzbek speech sounds, syllables and words was evaluated on the basis of intellectual algorithms. Based on the evaluated indicators, the structure of neural networks that recognize children’s speech pronunciation was developed. Recognition indicators of children’s speech sounds, syllables, and words were identified.
Keywords: Speech, Recognition, Artificial intelligent, Neural network(NN), Speech therapy system.
Scope of the Article: Artificial Intelligence