Kadazandusun speech recognition: a case study

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

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Abstract

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.

Item Type:	Article
Keyword:	Kadazandusun , Feature extraction , Speech recognition , Speech , LPCC
Subjects:	P Language and Literature > PL Languages and literatures of Eastern Asia, Africa, Oceania > PL1-8844 Languages of Eastern Asia, Africa, Oceania > PL5001-7511 Languages of Oceania > PL5001-7101 Austronesian, Papuan, and Australian languages > PL5051-5497 Malayan (Indonesian) languages
Department:	FACULTY > Faculty of Computing and Informatics
Depositing User:	SAFRUDIN BIN DARUN -
Date Deposited:	12 Jul 2022 22:02
Last Modified:	12 Jul 2022 22:02
URI:	https://eprints.ums.edu.my/id/eprint/33171

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