Normative speech recognition threshold in noise (SRTn) for Malay matrix sentence test (MMST) in open-set format
Speech perception ability in noise is a realistic key indicator of a person’s potential to communicate in real-world situations. The Malay Matrix Sentence Test (MMST) is able to provide information about a listener’s speech perception ability in noise. It can also be implemented in either open or cl...
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| Format: | Conference or Workshop Item |
| Language: | English |
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Kulliyyah of Allied Health Sciences, IIUM
2018
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| Online Access: | http://irep.iium.edu.my/78746/ http://irep.iium.edu.my/78746/1/245-Article%20Text-899-1-10-20190114.pdf |
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iium-78746 |
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eprints |
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iium-787462020-02-21T04:50:51Z http://irep.iium.edu.my/78746/ Normative speech recognition threshold in noise (SRTn) for Malay matrix sentence test (MMST) in open-set format Mustafar Ramdzuan, Lydia Farhana Jamaluddin, Saiful Adli O'Beirne, Greg A. RF Otorhinolaryngology Speech perception ability in noise is a realistic key indicator of a person’s potential to communicate in real-world situations. The Malay Matrix Sentence Test (MMST) is able to provide information about a listener’s speech perception ability in noise. It can also be implemented in either open or closed-set test format. The main purpose of this study was to obtain normative speech recognition threshold in noise (SRTn) for MMST in the open-set test format. Kulliyyah of Allied Health Sciences, IIUM 2018 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/78746/1/245-Article%20Text-899-1-10-20190114.pdf Mustafar Ramdzuan, Lydia Farhana and Jamaluddin, Saiful Adli and O'Beirne, Greg A. (2018) Normative speech recognition threshold in noise (SRTn) for Malay matrix sentence test (MMST) in open-set format. In: Fifth Malaysian Audiology Scientific Conference (MASCO2018), 10-12 May 2018, Putrajaya. |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
International Islamic University Malaysia |
| building |
IIUM Repository |
| collection |
Online Access |
| language |
English |
| topic |
RF Otorhinolaryngology |
| spellingShingle |
RF Otorhinolaryngology Mustafar Ramdzuan, Lydia Farhana Jamaluddin, Saiful Adli O'Beirne, Greg A. Normative speech recognition threshold in noise (SRTn) for Malay matrix sentence test (MMST) in open-set format |
| description |
Speech perception ability in noise is a realistic key indicator of a person’s potential to communicate in real-world situations. The Malay Matrix Sentence Test (MMST) is able to provide information about a listener’s speech perception ability in noise. It can also be implemented in either open or closed-set test format. The main purpose of this study was to obtain normative speech recognition threshold in noise (SRTn) for MMST in the open-set test format. |
| format |
Conference or Workshop Item |
| author |
Mustafar Ramdzuan, Lydia Farhana Jamaluddin, Saiful Adli O'Beirne, Greg A. |
| author_facet |
Mustafar Ramdzuan, Lydia Farhana Jamaluddin, Saiful Adli O'Beirne, Greg A. |
| author_sort |
Mustafar Ramdzuan, Lydia Farhana |
| title |
Normative speech recognition threshold in noise (SRTn) for Malay matrix sentence test (MMST) in open-set format |
| title_short |
Normative speech recognition threshold in noise (SRTn) for Malay matrix sentence test (MMST) in open-set format |
| title_full |
Normative speech recognition threshold in noise (SRTn) for Malay matrix sentence test (MMST) in open-set format |
| title_fullStr |
Normative speech recognition threshold in noise (SRTn) for Malay matrix sentence test (MMST) in open-set format |
| title_full_unstemmed |
Normative speech recognition threshold in noise (SRTn) for Malay matrix sentence test (MMST) in open-set format |
| title_sort |
normative speech recognition threshold in noise (srtn) for malay matrix sentence test (mmst) in open-set format |
| publisher |
Kulliyyah of Allied Health Sciences, IIUM |
| publishDate |
2018 |
| url |
http://irep.iium.edu.my/78746/ http://irep.iium.edu.my/78746/1/245-Article%20Text-899-1-10-20190114.pdf |
| first_indexed |
2023-09-18T21:50:53Z |
| last_indexed |
2023-09-18T21:50:53Z |
| _version_ |
1777413760730791936 |