Determining audio signatures for active noise control
Many speech intelligibility (SI) assessors are now available for evaluating SI in room. However, these assessors are all using English or Western background word lists. The purpose of this study is to determine the audio signatures of the selected Bahasa Melayu (BM) words for development of SI asses...
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2010
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my-utm-ep.169752017-08-15T00:05:31Z Determining audio signatures for active noise control 2010 Mohamad Zehni, Nurzeha Many speech intelligibility (SI) assessors are now available for evaluating SI in room. However, these assessors are all using English or Western background word lists. The purpose of this study is to determine the audio signatures of the selected Bahasa Melayu (BM) words for development of SI assessors using BM words between monosyllable and disyllable. Monosyllable and disyllable words of BM words had been used to obtain audio signatures, so that characteristics in terms of amplitude and frequency of the words can be established. The anechoic room and reverberation room will be used for recording and listening of these selected BM words. Matlab software had been used to process these word signals. 2010 Thesis http://eprints.utm.my/id/eprint/16975/ masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering |
| institution |
Universiti Teknologi Malaysia |
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UTM Institutional Repository |
| description |
Many speech intelligibility (SI) assessors are now available for evaluating SI in room. However, these assessors are all using English or Western background word lists. The purpose of this study is to determine the audio signatures of the selected Bahasa Melayu (BM) words for development of SI assessors using BM words between monosyllable and disyllable. Monosyllable and disyllable words of BM words had been used to obtain audio signatures, so that characteristics in terms of amplitude and frequency of the words can be established. The anechoic room and reverberation room will be used for recording and listening of these selected BM words. Matlab software had been used to process these word signals. |
| format |
Thesis |
| qualification_level |
Master's degree |
| author |
Mohamad Zehni, Nurzeha |
| spellingShingle |
Mohamad Zehni, Nurzeha Determining audio signatures for active noise control |
| author_facet |
Mohamad Zehni, Nurzeha |
| author_sort |
Mohamad Zehni, Nurzeha |
| title |
Determining audio signatures for active noise control |
| title_short |
Determining audio signatures for active noise control |
| title_full |
Determining audio signatures for active noise control |
| title_fullStr |
Determining audio signatures for active noise control |
| title_full_unstemmed |
Determining audio signatures for active noise control |
| title_sort |
determining audio signatures for active noise control |
| granting_institution |
Universiti Teknologi Malaysia, Faculty of Electrical Engineering |
| granting_department |
Faculty of Electrical Engineering |
| publishDate |
2010 |
| _version_ |
1747815131574697984 |