Improving Bahasa Melayu text-to-speech system using unit-selection method : UTeM health centre case

The main objective of UTeM health center is to provide the best medical facilities for all the community on campus. Nowadays UTeM Health Center already implements a doctor-patient consultation system. In that consultation system has a calling system using Text-to-Speech (TTS) to call patient name to...

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Main Author:	Sri Winarsih, Nurul Anisa
Format:	Thesis
Language:	English English
Published:	2017
Subjects:	T Technology (General)
Online Access:	http://eprints.utem.edu.my/id/eprint/20739/1/Improving%20Bahasa%20Melayu%20Text-To-Speech%20System%20Using%20Unit-Selection%20Method%20Utem%20Health%20Centre%20Case%20-%20Nurul%20Anisa%20Sri%20Winarsih%20-%2024%20Pages.pdf http://eprints.utem.edu.my/id/eprint/20739/2/Improving%20Bahasa%20Melayu%20text-to-speech%20system%20using%20unit-selection%20method%20%20UTeM%20health%20centre%20case.pdf
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id	my-utem-ep.20739
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spelling	my-utem-ep.207392022-06-13T10:50:12Z Improving Bahasa Melayu text-to-speech system using unit-selection method : UTeM health centre case 2017 Sri Winarsih, Nurul Anisa T Technology (General) TK Electrical engineering. Electronics Nuclear engineering The main objective of UTeM health center is to provide the best medical facilities for all the community on campus. Nowadays UTeM Health Center already implements a doctor-patient consultation system. In that consultation system has a calling system using Text-to-Speech (TTS) to call patient name to go to doctor's room but lack of natural sounding speech. That is way the research wants to make improvement for calling system UTeM Health Center with a TTS using Unit-Selection Synthesis (USS) method with Malaysian native speaker for the corpus database. The corpus consists of 200 famous Malaysian names and 1500 sentences. Those corpus segmented into word, syllable, and diphone based. TTS system consists of Natural Language Processing (NLP) and Digital Signal Processing (DSP). NLP is a module to produce a phonetic transcription of the read text. In this study, NLP process consists of text normalization and phonetizer. Then followed by DSP process using Unit-Selection Synthesis (USS) to convert phonetic transcriptions from NLP module into speech synthesis. This TTS has been tested by Comparison Category Rating (CCR) from listening test. The first test is to compare the naturalness of the current calling system and the proposed calling system. The proposed system can solved the problem of naturalness because its result is higher than current system. The second testing is to test the improvement of TTS method for Bahasa Melayu. The proposed system give improvement because the total average result score is 2.55 over 3. 2017 Thesis http://eprints.utem.edu.my/id/eprint/20739/ http://eprints.utem.edu.my/id/eprint/20739/1/Improving%20Bahasa%20Melayu%20Text-To-Speech%20System%20Using%20Unit-Selection%20Method%20Utem%20Health%20Centre%20Case%20-%20Nurul%20Anisa%20Sri%20Winarsih%20-%2024%20Pages.pdf text en public http://eprints.utem.edu.my/id/eprint/20739/2/Improving%20Bahasa%20Melayu%20text-to-speech%20system%20using%20unit-selection%20method%20%20UTeM%20health%20centre%20case.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=106069 mphil masters Universiti Teknikal Malaysia Melaka Faculty Of Information And Communication Technology Abd Ghani, Mohd Khanapi
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
language	English English
advisor	Abd Ghani, Mohd Khanapi
topic	T Technology (General) T Technology (General)
spellingShingle	T Technology (General) T Technology (General) Sri Winarsih, Nurul Anisa Improving Bahasa Melayu text-to-speech system using unit-selection method : UTeM health centre case
description	The main objective of UTeM health center is to provide the best medical facilities for all the community on campus. Nowadays UTeM Health Center already implements a doctor-patient consultation system. In that consultation system has a calling system using Text-to-Speech (TTS) to call patient name to go to doctor's room but lack of natural sounding speech. That is way the research wants to make improvement for calling system UTeM Health Center with a TTS using Unit-Selection Synthesis (USS) method with Malaysian native speaker for the corpus database. The corpus consists of 200 famous Malaysian names and 1500 sentences. Those corpus segmented into word, syllable, and diphone based. TTS system consists of Natural Language Processing (NLP) and Digital Signal Processing (DSP). NLP is a module to produce a phonetic transcription of the read text. In this study, NLP process consists of text normalization and phonetizer. Then followed by DSP process using Unit-Selection Synthesis (USS) to convert phonetic transcriptions from NLP module into speech synthesis. This TTS has been tested by Comparison Category Rating (CCR) from listening test. The first test is to compare the naturalness of the current calling system and the proposed calling system. The proposed system can solved the problem of naturalness because its result is higher than current system. The second testing is to test the improvement of TTS method for Bahasa Melayu. The proposed system give improvement because the total average result score is 2.55 over 3.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Sri Winarsih, Nurul Anisa
author_facet	Sri Winarsih, Nurul Anisa
author_sort	Sri Winarsih, Nurul Anisa
title	Improving Bahasa Melayu text-to-speech system using unit-selection method : UTeM health centre case
title_short	Improving Bahasa Melayu text-to-speech system using unit-selection method : UTeM health centre case
title_full	Improving Bahasa Melayu text-to-speech system using unit-selection method : UTeM health centre case
title_fullStr	Improving Bahasa Melayu text-to-speech system using unit-selection method : UTeM health centre case
title_full_unstemmed	Improving Bahasa Melayu text-to-speech system using unit-selection method : UTeM health centre case
title_sort	improving bahasa melayu text-to-speech system using unit-selection method : utem health centre case
granting_institution	Universiti Teknikal Malaysia Melaka
granting_department	Faculty Of Information And Communication Technology
publishDate	2017
url	http://eprints.utem.edu.my/id/eprint/20739/1/Improving%20Bahasa%20Melayu%20Text-To-Speech%20System%20Using%20Unit-Selection%20Method%20Utem%20Health%20Centre%20Case%20-%20Nurul%20Anisa%20Sri%20Winarsih%20-%2024%20Pages.pdf http://eprints.utem.edu.my/id/eprint/20739/2/Improving%20Bahasa%20Melayu%20text-to-speech%20system%20using%20unit-selection%20method%20%20UTeM%20health%20centre%20case.pdf
_version_	1747833997584498688

Improving Bahasa Melayu text-to-speech system using unit-selection method : UTeM health centre case

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