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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Main Authors: Mustafar Ramdzuan, Lydia Farhana, Jamaluddin, Saiful Adli, O'Beirne, Greg A.
Format: Conference or Workshop Item
Language:English
Published: Kulliyyah of Allied Health Sciences, IIUM 2018
Subjects:
Online Access:http://irep.iium.edu.my/78746/
http://irep.iium.edu.my/78746/1/245-Article%20Text-899-1-10-20190114.pdf
id iium-78746
recordtype eprints
spelling 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
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