Wireless Mobile Network with Transfer Learning Algorithm for Multilingual Education and Historical Research
Badia MukhitdinovaDoctor of Sciences, Professor of the Samarkand State University named after Sharof Rashidov. Uzbekistan. badeamuhitdinova@gmail.com0000-0001-9281-1190
Ramazon AbdullaevAssociate Professor, PhD in Philological Science, Department of Tajik Philology and Oriental Languages, Termez State University, Uzbekistan. abdullaevr@tersu.uz0009-0006-7494-265X
Gulnoza OdilovaKimyo International University in Tashkent, Тashkent, Uzbekistan. g.odilova@kiut.uz0000-0003-2114-9026
Shakhnoza TurniyazovaDoctor of Philology (DSc), Professor, Samarkand State Institute of Foreign Languages, Uzbekistan. turniyazova2019@gmail.com0000-0003-1595-7369
Yulduz Ne'matovaDoctor of Philosophy (PhD) Philological Sciences, Associate Professor of Karshi State University. Uzbekistan. yulduznematova7@gmail.com0009-0007-5334-4818
Sherzod TurdikulovPhD, a Senior Lecturer of the Department of Uzbek Linguistics, Termez State University, Termez, Uzbekistan. turdiqulovsh@tersu.uz0009-0007-3726-9774
Nadira MakhkamovaTashkent University of Information Technologies named after Muhammad Al-Khwarizmi, Uzbekistan. mnadira2000@mail.ru0009-0008-8883-6713
Ibrokhim SapaevHead of the Department Physics and Chemistry, “Tashkent Institute of Irrigation and Agricultural Mechanization Engineers” National Research University, Tashkent, Uzbekistan; Scientific researcher, University of Tashkent for Applied Sciences, Str. Gavhar 1, Tashkent, Uzbekistan; Western Caspian University, Scientific Researcher, Baku, Azerbaijan. sapaevibrokhim@gmail.com0000-0003-2365-1554
Keywords: Transfer Learning, Multilingual, Education, Wireless Mobile Network.
Abstract
Notwithstanding recent advancements in Automatic Speech Recognition (ASR), acknowledging children's speech continues to pose a considerable problem. This mainly results from significant acoustic fluctuation and the scarcity of available data for training in Wireless Mobile Networks (WMN). This issue is especially pronounced in languages other than English, typically under-resourced. This research examines children's ASR in various under-resourced languages by amalgamating different small kids’ voice datasets. Specifically, the study examines the subsequent research questions: Does a novel two-step learning technique comprising Multilingual Learning (MLL) and Historical Research (HR) followed by language-specific Transfer Learning (TL) surpasstraditional single language learning for children's speech and MLL and TL in isolation? Drawing from prior experimental findings with English, the research proposes that MLL enhances the generalization of the fundamental traits of speech in kids. The findings affirmatively address the study issue, demonstrating that TL atop an MLL for an unencountered language surpasses traditional single language-specific instructional techniques.