Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Banu Yergesh"'
Publikováno v:
Sensors, Vol 22, Iss 5, p 1937 (2022)
The emotional speech recognition method presented in this article was applied to recognize the emotions of students during online exams in distance learning due to COVID-19. The purpose of this method is to recognize emotions in spoken speech through
Externí odkaz:
https://doaj.org/article/b13146f441eb4e08a0b636557f63ee7c
Autor:
Gulmira Bekmanova, Gaziza Yelibayeva, Banu Yergesh, Laura Orynbay, Ayaulym Sairanbekova, Zulfiya Kaderkeyeva
Publikováno v:
2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT).
Publikováno v:
2022 International Conference on Engineering & MIS (ICEMIS).
Autor:
Gaziza Yelibayeva, Bibigul Razakhova, Banu Yergesh, Altynbek Sharipbay, Gulmira Bekmanova, Assel Mukanova
Publikováno v:
2022 International Conference on Engineering & MIS (ICEMIS).
Publikováno v:
Computational Science and Its Applications – ICCSA 2022 Workshops ISBN: 9783031105449
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37ed4807681b1c026f259409b8c87138
https://doi.org/10.1007/978-3-031-10545-6_1
https://doi.org/10.1007/978-3-031-10545-6_1
Publikováno v:
Sensors; Volume 22; Issue 5; Pages: 1937
The emotional speech recognition method presented in this article was applied to recognize the emotions of students during online exams in distance learning due to COVID-19. The purpose of this method is to recognize emotions in spoken speech through
Autor:
Banu Yergesh, Lyaila Kenzhina
Publikováno v:
The 7th International Conference on Engineering & MIS 2021.
Autor:
Gaziza Yelibayeva, Banu Yergesh, Sharipbay Altynbek, Assel Omarbekova, Bibigul Razakhova, Assel Mukanova
Publikováno v:
DATA
This paper proposes a syntactic analysis of Kazakh simple sentences taking into account their semantics. To do this, first, the syntactic rules of sentences are described using formal grammar, then parsing trees and ontological models are built to de
Autor:
Gaziza Yelibayeva, Banu Yergesh, Sharipbay Altynbek, Bekmanova Gulmira, Altanbek Zulkhazhav, Assylbek Zulkhazhav, Assel Mukanova
Publikováno v:
Computational Science and Its Applications – ICCSA 2019 ISBN: 9783030242886
ICCSA (1)
ICCSA (1)
Currently, the volume of various information resources in the Turkic languages is increasing. Processing of such resources requires thesauri and corpora created using a single metalanguage (tagging language) and the knowledge base of subject areas. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48483572fedf6dc0c5bf7b32010b26a5
https://doi.org/10.1007/978-3-030-24289-3_51
https://doi.org/10.1007/978-3-030-24289-3_51
Autor:
Banu Yergesh, Sharipbay Altynbek, Bekmanova Gulmira, Assel Omarbekova, Bibigul Razakhova, Assel Mukanova
Publikováno v:
Computación y Sistemas. 18
Abstrac t. We explain how semantic hyper-graphs are used to describe ontological models of morphological rules of agglutinative languages, with the Kazakh language as a case study. The vertices of these graphs represent morphological features and the