Performance comparison of the artificial neural network and the k-nearest nieghbor classifiers in classroom speech intelligibility prediction application
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my.unimap-116212011-04-20T09:35:28Z Performance comparison of the artificial neural network and the k-nearest nieghbor classifiers in classroom speech intelligibility prediction application Mohd Ridhwan Tamjis M. Naufal Mansor Paulraj, Murugesa Pandiyan, Assoc. Prof. A. Nazri Abdullah Raymond B. W. Heng Sazali Yaacob, Prof. Dr. mystril_nd@yahoo.com Artificial Neural Network (ANN) Classroom speech Link to publisher's homepage at http://sciacademypublisher.com Classroom speech intelligibility has become one of the major concerns in education nowadays. In any classrooms and educational facilities, an optimal speech intelligibility level is required to ensure that the listeners at any location in the classroom have a good perception of the message that is conveyed by the speaker. Classrooms need to be designed carefully in order to give optimal classroom speech intelligibility level. In this paper, two different types of artificial intelligence methods are proposed to implement the prediction application: Artificial Neural Network (ANN) and the k-Nearest Neighbor (k-NN). Both classifiers are trained separately using the previously acquired datasets which consist of acoustical parameters and the speech intelligibility of actual classrooms. Results show that the ANN performs better on imbalanced datasets compared to the k-NN. 2011-04-20T09:32:59Z 2011-04-20T09:32:59Z 2011-03 Article Research and Reviews in Artificial Intelligence, vol.1(1), 2011, pages 12-15 2046-5122 http://sciacademypublisher.com/journals/index.php/IJRRAI/article/view/47/40 http://hdl.handle.net/123456789/11621 en Science Academy |
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Artificial Neural Network (ANN) Classroom speech |
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Artificial Neural Network (ANN) Classroom speech Mohd Ridhwan Tamjis M. Naufal Mansor Paulraj, Murugesa Pandiyan, Assoc. Prof. A. Nazri Abdullah Raymond B. W. Heng Sazali Yaacob, Prof. Dr. Performance comparison of the artificial neural network and the k-nearest nieghbor classifiers in classroom speech intelligibility prediction application |
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Link to publisher's homepage at http://sciacademypublisher.com |
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mystril_nd@yahoo.com |
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mystril_nd@yahoo.com Mohd Ridhwan Tamjis M. Naufal Mansor Paulraj, Murugesa Pandiyan, Assoc. Prof. A. Nazri Abdullah Raymond B. W. Heng Sazali Yaacob, Prof. Dr. |
format |
Article |
author |
Mohd Ridhwan Tamjis M. Naufal Mansor Paulraj, Murugesa Pandiyan, Assoc. Prof. A. Nazri Abdullah Raymond B. W. Heng Sazali Yaacob, Prof. Dr. |
author_sort |
Mohd Ridhwan Tamjis |
title |
Performance comparison of the artificial neural network and the k-nearest nieghbor classifiers in classroom speech intelligibility prediction application |
title_short |
Performance comparison of the artificial neural network and the k-nearest nieghbor classifiers in classroom speech intelligibility prediction application |
title_full |
Performance comparison of the artificial neural network and the k-nearest nieghbor classifiers in classroom speech intelligibility prediction application |
title_fullStr |
Performance comparison of the artificial neural network and the k-nearest nieghbor classifiers in classroom speech intelligibility prediction application |
title_full_unstemmed |
Performance comparison of the artificial neural network and the k-nearest nieghbor classifiers in classroom speech intelligibility prediction application |
title_sort |
performance comparison of the artificial neural network and the k-nearest nieghbor classifiers in classroom speech intelligibility prediction application |
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Science Academy |
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2011 |
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http://dspace.unimap.edu.my/xmlui/handle/123456789/11621 |
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13.214268 |