Speech to text translation for Malay Language

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.

	PDF - Published Version Restricted to Registered users only Download (962kB) | Request a copy
Preview	PDF (SCOPUS) Download (222kB) | Preview

Abstract

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%.

Item Type:	Conference or Workshop Item (Plenary Papers)
Additional Information:	5806/59338
Uncontrolled Keywords:	Speech, text translation, Malay Language
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User:	Prof. Dr. Rini Akmeliawati
Date Deposited:	16 Nov 2017 11:24
Last Modified:	23 Jan 2018 12:27
URI:	http://irep.iium.edu.my/id/eprint/59338

Actions (login required)

View Item