Kadazandusun speech recognition: a case study
Currently, there is no existing system that provides common information and utilities for Kadazandusun’s speech recognition since Kadazandusun speech has different features that are not available in other languages. This paper presents a preliminary experiment using one of the famous feature extract...
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UniSE Press
2021
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Online Access: | https://eprints.ums.edu.my/id/eprint/33171/1/Kadazandusun%20speech%20recognition_%20a%20case%20study.pdf https://eprints.ums.edu.my/id/eprint/33171/3/Kadazandusun%20speech%20recognition_%20a%20case%20study%20_ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/33171/ http://tost.unise.org/pdfs/vol8/no3-3/ToST-CoFA2020-560-567-OA.pdf |
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my.ums.eprints.331712022-07-12T14:02:24Z https://eprints.ums.edu.my/id/eprint/33171/ Kadazandusun speech recognition: a case study Samry @ Mohd Shamrie Sainin Mohd Hanafie Haris PL5051-5497 Malayan (Indonesian) languages Currently, there is no existing system that provides common information and utilities for Kadazandusun’s speech recognition since Kadazandusun speech has different features that are not available in other languages. This paper presents a preliminary experiment using one of the famous feature extraction methods which is Linear Prediction Cepstral Coefficients (LPCC). Further investigation on the speech data is using several classifier algorithms to investigate the recognition rate of Kadazandusun words. There are 6 words of Kadazandusun collected as an individual speech to test the feature extraction and the classifiers. The objectives of this study are to investigate LPCC feature extraction and to propose a suitable classifier algorithm for Kadazandusun speech data. UniSE Press 2021 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/33171/1/Kadazandusun%20speech%20recognition_%20a%20case%20study.pdf text en https://eprints.ums.edu.my/id/eprint/33171/3/Kadazandusun%20speech%20recognition_%20a%20case%20study%20_ABSTRACT.pdf Samry @ Mohd Shamrie Sainin and Mohd Hanafie Haris (2021) Kadazandusun speech recognition: a case study. Transactions on Science and Technology, 8 (3). pp. 560-567. ISSN 2289-8786 http://tost.unise.org/pdfs/vol8/no3-3/ToST-CoFA2020-560-567-OA.pdf |
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PL5051-5497 Malayan (Indonesian) languages Samry @ Mohd Shamrie Sainin Mohd Hanafie Haris Kadazandusun speech recognition: a case study |
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Currently, there is no existing system that provides common information and utilities for Kadazandusun’s speech recognition since Kadazandusun speech has different features that are not available in other languages. This paper presents a preliminary experiment using one of the famous feature extraction methods which is Linear Prediction Cepstral Coefficients (LPCC). Further investigation on the speech data is using several classifier algorithms to investigate the recognition rate of Kadazandusun words. There are 6 words of Kadazandusun collected as an individual speech to test the feature extraction and the classifiers. The objectives of this study are to investigate LPCC feature extraction and to propose a suitable classifier algorithm for Kadazandusun speech data. |
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Article |
author |
Samry @ Mohd Shamrie Sainin Mohd Hanafie Haris |
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Samry @ Mohd Shamrie Sainin Mohd Hanafie Haris |
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Samry @ Mohd Shamrie Sainin |
title |
Kadazandusun speech recognition: a case study |
title_short |
Kadazandusun speech recognition: a case study |
title_full |
Kadazandusun speech recognition: a case study |
title_fullStr |
Kadazandusun speech recognition: a case study |
title_full_unstemmed |
Kadazandusun speech recognition: a case study |
title_sort |
kadazandusun speech recognition: a case study |
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UniSE Press |
publishDate |
2021 |
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https://eprints.ums.edu.my/id/eprint/33171/1/Kadazandusun%20speech%20recognition_%20a%20case%20study.pdf https://eprints.ums.edu.my/id/eprint/33171/3/Kadazandusun%20speech%20recognition_%20a%20case%20study%20_ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/33171/ http://tost.unise.org/pdfs/vol8/no3-3/ToST-CoFA2020-560-567-OA.pdf |
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