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Bibigul Razakhova

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Articles

Specifics of Data Collection and Data Processing during Formation of RailVista Dataset for Machine Learning- and Deep Learning-Based Applications

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By Nikolaj Goranin, Bibigul Razakhova, Tolegen Aidynov, Gulsipat Abisheva
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Recent Advances in Synthesis and Interaction of Speech, Text, and Vision

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By Laura Orynbay, Bibigul Razakhova, Peter Peer
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Continuous Sign Language Recognition and Its Translation into Intonation-Colored Speech

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By Gulmira Bekmanova, Nurzada Amangeldy, Aru Ukenova, Bibigul Razakhova
| MDPI
3.2. CSLR Method in the Case of the Kazakh Language In various studies, different sensors have been used to improve gesture recognition, but these systems have certain limitations. For example, some systems require invasive procedures, such as the use of electromyography (EMG) signals [49], which may limit their practical application in real-world conditions. Other systems use smartwatches [22], but they may not fully reflect the complexity and nuances of sign language gestures.
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