Decode Malay syllables: Cnn's key to Malay language understanding

Malay serves as the language of knowledge and is instrumental in educational settings, as exemplified by its significance in the Education Act of 1961. Furthermore, to support the government's initiatives in advancing the quality of education toward achieving global standards, there is a growin...

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Main Authors: Hashim, Nik Mohd Zarifie, Salleh, Azahari, Harun, Haleeda Norelham, Ahmad Azhar, Nursyahmina, Sulistiyo, Mahmud Dwi, Kamarudin, Atiqah Ilya
Format: Article
Language:English
Published: Human Resource Management Academic Research Society 2024
Online Access:http://eprints.utem.edu.my/id/eprint/28214/2/01300211020241150351203.pdf
http://eprints.utem.edu.my/id/eprint/28214/
https://hrmars.com/papers_submitted/23118/decode-malay-syllables-cnns-key-to-malay-language-understanding.pdf
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spelling my.utem.eprints.282142025-02-11T08:33:14Z http://eprints.utem.edu.my/id/eprint/28214/ Decode Malay syllables: Cnn's key to Malay language understanding Hashim, Nik Mohd Zarifie Salleh, Azahari Harun, Haleeda Norelham Ahmad Azhar, Nursyahmina Sulistiyo, Mahmud Dwi Kamarudin, Atiqah Ilya Malay serves as the language of knowledge and is instrumental in educational settings, as exemplified by its significance in the Education Act of 1961. Furthermore, to support the government's initiatives in advancing the quality of education toward achieving global standards, there is a growing demand for innovative pedagogical methods in teaching the Malay language. In this context, numerous researchers have concentrated their efforts on developing speaker-independent systems, which find applications in language training, articulation therapy, and aiding language learners in mastering the intricacies of Malay phonetics, particularly focusing on vowels. Hence, the principal aim of this paper is primarily dedicated to the recognition of intelligently pronounced Malay syllables by distinct male and female groups, employing Neural Network technology. The primary objective of this research paper is to develop a robust system for the accurate recognition of Malay language syllables, which play a pivotal role in the context of the Malay language, widely used as the primary medium of communication in Malaysia. The implementation of this system leverages the Python programming language, known for its versatility and adaptability to various applications. The paper's primary focus lies in the careful observation and analysis of specific syllable components, particularly those involving the pronunciation of /a/, /e/, /i/, /o/, and /u/. These segments of the language pose particular challenges in terms of pronunciation, and the paper seeks to develop a comprehensive solution for their accurate recognition. Human Resource Management Academic Research Society 2024 Article PeerReviewed text en cc_by_4 http://eprints.utem.edu.my/id/eprint/28214/2/01300211020241150351203.pdf Hashim, Nik Mohd Zarifie and Salleh, Azahari and Harun, Haleeda Norelham and Ahmad Azhar, Nursyahmina and Sulistiyo, Mahmud Dwi and Kamarudin, Atiqah Ilya (2024) Decode Malay syllables: Cnn's key to Malay language understanding. International Journal of Academic Research in Business and Social Sciences, 14 (10). pp. 480-492. ISSN 2222-6990 https://hrmars.com/papers_submitted/23118/decode-malay-syllables-cnns-key-to-malay-language-understanding.pdf 10.6007/IJARBSS/v14-i10/23118
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
description Malay serves as the language of knowledge and is instrumental in educational settings, as exemplified by its significance in the Education Act of 1961. Furthermore, to support the government's initiatives in advancing the quality of education toward achieving global standards, there is a growing demand for innovative pedagogical methods in teaching the Malay language. In this context, numerous researchers have concentrated their efforts on developing speaker-independent systems, which find applications in language training, articulation therapy, and aiding language learners in mastering the intricacies of Malay phonetics, particularly focusing on vowels. Hence, the principal aim of this paper is primarily dedicated to the recognition of intelligently pronounced Malay syllables by distinct male and female groups, employing Neural Network technology. The primary objective of this research paper is to develop a robust system for the accurate recognition of Malay language syllables, which play a pivotal role in the context of the Malay language, widely used as the primary medium of communication in Malaysia. The implementation of this system leverages the Python programming language, known for its versatility and adaptability to various applications. The paper's primary focus lies in the careful observation and analysis of specific syllable components, particularly those involving the pronunciation of /a/, /e/, /i/, /o/, and /u/. These segments of the language pose particular challenges in terms of pronunciation, and the paper seeks to develop a comprehensive solution for their accurate recognition.
format Article
author Hashim, Nik Mohd Zarifie
Salleh, Azahari
Harun, Haleeda Norelham
Ahmad Azhar, Nursyahmina
Sulistiyo, Mahmud Dwi
Kamarudin, Atiqah Ilya
spellingShingle Hashim, Nik Mohd Zarifie
Salleh, Azahari
Harun, Haleeda Norelham
Ahmad Azhar, Nursyahmina
Sulistiyo, Mahmud Dwi
Kamarudin, Atiqah Ilya
Decode Malay syllables: Cnn's key to Malay language understanding
author_facet Hashim, Nik Mohd Zarifie
Salleh, Azahari
Harun, Haleeda Norelham
Ahmad Azhar, Nursyahmina
Sulistiyo, Mahmud Dwi
Kamarudin, Atiqah Ilya
author_sort Hashim, Nik Mohd Zarifie
title Decode Malay syllables: Cnn's key to Malay language understanding
title_short Decode Malay syllables: Cnn's key to Malay language understanding
title_full Decode Malay syllables: Cnn's key to Malay language understanding
title_fullStr Decode Malay syllables: Cnn's key to Malay language understanding
title_full_unstemmed Decode Malay syllables: Cnn's key to Malay language understanding
title_sort decode malay syllables: cnn's key to malay language understanding
publisher Human Resource Management Academic Research Society
publishDate 2024
url http://eprints.utem.edu.my/id/eprint/28214/2/01300211020241150351203.pdf
http://eprints.utem.edu.my/id/eprint/28214/
https://hrmars.com/papers_submitted/23118/decode-malay-syllables-cnns-key-to-malay-language-understanding.pdf
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score 13.239859