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....
| Main Authors: | , |
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| Format: | Proceeding Paper |
| Language: | English English |
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IOP Publishing
2017
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| Online Access: | 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 |
| _version_ | 1848785294954856448 |
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| author | Ali Al-khulaidi, Rami Akmeliawati, Rini |
| author_facet | Ali Al-khulaidi, Rami Akmeliawati, Rini |
| author_sort | Ali Al-khulaidi, Rami |
| building | IIUM Repository |
| collection | Online Access |
| 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%. |
| first_indexed | 2025-11-14T16:50:52Z |
| format | Proceeding Paper |
| id | iium-59338 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T16:50:52Z |
| publishDate | 2017 |
| publisher | IOP Publishing |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 Proceeding Paper 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 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Ali Al-khulaidi, Rami Akmeliawati, Rini Speech to text translation for Malay Language |
| title | 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_short | Speech to text translation for Malay Language |
| title_sort | speech to text translation for malay language |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| 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 |