Feature based classification for classroom speech intelligibility prediction
Proceeding of The 3rd National Postgraduate Conference - Energy and Sustainability: Exploring the Innovative Minds (NPC 2011) at Perak, Malaysia on 19 September 2011 through 20 September 2011
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IEEE Conference Publications
2014
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my.unimap-342552014-05-05T08:38:58Z Feature based classification for classroom speech intelligibility prediction M. Ridhwan, Tamjis Sazali, Yaacob, Prof. Dr. Pandian, Paulraj Murugesa, Prof. Dr. Ahmad Nazri, Abdullah Boon, Raymond Whee Heng,Prof. Dr. mystril_nd@yahoo.com s.yaacob@unimap.edu.my paul@unimap.edu.my. rbwheng@unimap.edu.my Audio feature extraction Classroom speech intelligibility Elman Prediction STI Proceeding of The 3rd National Postgraduate Conference - Energy and Sustainability: Exploring the Innovative Minds (NPC 2011) at Perak, Malaysia on 19 September 2011 through 20 September 2011 Education is one of the most important aspects in human life. Nowadays, a quality education not only rely on the teaching itself, but also the environment. One of the important aspects in providing an educative environment is the acoustic quality of the teaching facilities. In this paper, a signal processing based classroom speech intelligibility prediction will be discussed. There are four main stages involved in this research, which were measurement, preprocessing, feature extraction and classification. Two types of audio features were used in this research and the classification results were compared. It was concluded that Elman classifiers trained with zero-crossing rate features tend to produce better classification accuracy compared to the spectral roll off. 2014-05-05T08:27:27Z 2014-05-05T08:27:27Z 2011-09 Working Paper p. 1-5 978-1-4577-1882-3 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6136318&tag=1 untranslated http://dspace.unimap.edu.my:80/dspace/handle/123456789/34255 http://dx.doi.org/10.1109/NatPC.2011.6136318 en Proceeding of The 3rd National Postgraduate Conference - Energy and Sustainability: Exploring the Innovative Minds (NPC 2011); IEEE Conference Publications |
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Universiti Malaysia Perlis |
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Malaysia |
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Universiti Malaysia Perlis |
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http://dspace.unimap.edu.my/ |
| language |
English |
| topic |
Audio feature extraction Classroom speech intelligibility Elman Prediction STI |
| spellingShingle |
Audio feature extraction Classroom speech intelligibility Elman Prediction STI M. Ridhwan, Tamjis Sazali, Yaacob, Prof. Dr. Pandian, Paulraj Murugesa, Prof. Dr. Ahmad Nazri, Abdullah Boon, Raymond Whee Heng,Prof. Dr. Feature based classification for classroom speech intelligibility prediction |
| description |
Proceeding of The 3rd National Postgraduate Conference - Energy and Sustainability: Exploring the Innovative Minds (NPC 2011) at Perak, Malaysia on 19 September 2011 through 20 September 2011 |
| author2 |
mystril_nd@yahoo.com |
| author_facet |
mystril_nd@yahoo.com M. Ridhwan, Tamjis Sazali, Yaacob, Prof. Dr. Pandian, Paulraj Murugesa, Prof. Dr. Ahmad Nazri, Abdullah Boon, Raymond Whee Heng,Prof. Dr. |
| format |
Working Paper |
| author |
M. Ridhwan, Tamjis Sazali, Yaacob, Prof. Dr. Pandian, Paulraj Murugesa, Prof. Dr. Ahmad Nazri, Abdullah Boon, Raymond Whee Heng,Prof. Dr. |
| author_sort |
M. Ridhwan, Tamjis |
| title |
Feature based classification for classroom speech intelligibility prediction |
| title_short |
Feature based classification for classroom speech intelligibility prediction |
| title_full |
Feature based classification for classroom speech intelligibility prediction |
| title_fullStr |
Feature based classification for classroom speech intelligibility prediction |
| title_full_unstemmed |
Feature based classification for classroom speech intelligibility prediction |
| title_sort |
feature based classification for classroom speech intelligibility prediction |
| publisher |
IEEE Conference Publications |
| publishDate |
2014 |
| url |
http://dspace.unimap.edu.my:80/dspace/handle/123456789/34255 |
| _version_ |
1643797376376242176 |
| score |
13.214268 |