Speech to text translation for Malay Language

The speech recognition system is a front end and a back-end process that receives an audio signal uttered by a speaker and converts it into a text transcription. The speech system can be used in several fields including: therapeutic technology, education, social robotics and computer entertainments....

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Main Authors:	Ali Al-khulaidi, Rami, Akmeliawati, Rini
Format:	Conference or Workshop Item
Language:	English English
Published:	IOP Publishing 2017
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://irep.iium.edu.my/59338/ http://irep.iium.edu.my/59338/ http://irep.iium.edu.my/59338/ http://irep.iium.edu.my/59338/7/59338-Speech%20to%20Text%20Translation%20for%20Malay%20Language.pdf http://irep.iium.edu.my/59338/13/Speech%20to%20text%20translation%20for%20Malay%20Language.pdf

id	iium-59338
recordtype	eprints
spelling	iium-593382018-01-23T04:27:50Z http://irep.iium.edu.my/59338/ Speech to text translation for Malay Language Ali Al-khulaidi, Rami Akmeliawati, Rini TK Electrical engineering. Electronics Nuclear engineering The speech recognition system is a front end and a back-end process that receives an audio signal uttered by a speaker and converts it into a text transcription. The speech system can be used in several fields including: therapeutic technology, education, social robotics and computer entertainments. In most cases in control tasks, which is the purpose of proposing our system, wherein the speed of performance and response concern as the system should integrate with other controlling platforms such as in voiced controlled robots. Therefore, the need for flexible platforms, that can be easily edited to jibe with functionality of the surroundings, came to the scene; unlike other software programs that require recording audios and multiple training for every entry such as MATLAB and Phoenix. In this paper, a speech recognition system for Malay language is implemented using Microsoft Visual Studio C#. 90 (ninety) Malay phrases were tested by 10 (ten) speakers from both genders in different contexts. The result shows that the overall accuracy (calculated from Confusion Matrix) is satisfactory as it is 92.69%. IOP Publishing 2017-11-07 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/59338/7/59338-Speech%20to%20Text%20Translation%20for%20Malay%20Language.pdf application/pdf en http://irep.iium.edu.my/59338/13/Speech%20to%20text%20translation%20for%20Malay%20Language.pdf Ali Al-khulaidi, Rami and Akmeliawati, Rini (2017) Speech to text translation for Malay Language. In: 6th International Conference on Mechatronics - ICOM'17, 8-9 Aug 2017, Kuala Lumpur. http://iopscience.iop.org/article/10.1088/1757-899X/260/1/012042/pdf 10.1088/1757-899X/260/1/012042
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Ali Al-khulaidi, Rami Akmeliawati, Rini Speech to text translation for Malay Language
description	The speech recognition system is a front end and a back-end process that receives an audio signal uttered by a speaker and converts it into a text transcription. The speech system can be used in several fields including: therapeutic technology, education, social robotics and computer entertainments. In most cases in control tasks, which is the purpose of proposing our system, wherein the speed of performance and response concern as the system should integrate with other controlling platforms such as in voiced controlled robots. Therefore, the need for flexible platforms, that can be easily edited to jibe with functionality of the surroundings, came to the scene; unlike other software programs that require recording audios and multiple training for every entry such as MATLAB and Phoenix. In this paper, a speech recognition system for Malay language is implemented using Microsoft Visual Studio C#. 90 (ninety) Malay phrases were tested by 10 (ten) speakers from both genders in different contexts. The result shows that the overall accuracy (calculated from Confusion Matrix) is satisfactory as it is 92.69%.
format	Conference or Workshop Item
author	Ali Al-khulaidi, Rami Akmeliawati, Rini
author_facet	Ali Al-khulaidi, Rami Akmeliawati, Rini
author_sort	Ali Al-khulaidi, Rami
title	Speech to text translation for Malay Language
title_short	Speech to text translation for Malay Language
title_full	Speech to text translation for Malay Language
title_fullStr	Speech to text translation for Malay Language
title_full_unstemmed	Speech to text translation for Malay Language
title_sort	speech to text translation for malay language
publisher	IOP Publishing
publishDate	2017
url	http://irep.iium.edu.my/59338/ http://irep.iium.edu.my/59338/ http://irep.iium.edu.my/59338/ http://irep.iium.edu.my/59338/7/59338-Speech%20to%20Text%20Translation%20for%20Malay%20Language.pdf http://irep.iium.edu.my/59338/13/Speech%20to%20text%20translation%20for%20Malay%20Language.pdf
first_indexed	2023-09-18T21:24:05Z
last_indexed	2023-09-18T21:24:05Z
_version_	1777412074475880448

Speech to text translation for Malay Language

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