Speech stuttering assessment using sample entropy and Least Square Support Vector Machine
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Institute of Electrical and Electronics Engineers (IEEE)
2013
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my.unimap-264092013-07-02T09:16:27Z Speech stuttering assessment using sample entropy and Least Square Support Vector Machine Muthusamy, Hariharan, Dr. Vijean, Vikneswaran Chong, Yen Fook Sazali, Yaacob, Prof. Dr. hari@unimap.edu.my Bark scale Erb Scale Least square support vector machine Mel scale Sample entropy Sample entropy Wavelet packet decomposition Link to publisher's homepage at http://ieeexplore.ieee.org/ This work is intended to discuss the performance of sample entropy feature for the recognition of stuttered events. The data for the analysis is taken from the UCLASS database. Manual segmentation is performed to identify the stuttered events prior to the feature extraction process. Wavelet packet decomposition is performed, and the sample entropy features are extracted using three different filter banks, Bark scale, Mel scale and Erb scale. The extracted features are tested using Least Square Support Vector Machine (LS SVM) for the identification of repetition and prolongation. Ten fold cross validation method is used to ensure the reliability of the results. The experimental investigations reveal that the proposed method shows promising results in distinguishing between the two stuttering events. 2013-07-02T09:15:51Z 2013-07-02T09:15:51Z 2012-03 Article p. 240-245 978-146730961-5 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6194726 http://hdl.handle.net/123456789/26409 en Institute of Electrical and Electronics Engineers (IEEE) |
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Bark scale Erb Scale Least square support vector machine Mel scale Sample entropy Sample entropy Wavelet packet decomposition |
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Bark scale Erb Scale Least square support vector machine Mel scale Sample entropy Sample entropy Wavelet packet decomposition Muthusamy, Hariharan, Dr. Vijean, Vikneswaran Chong, Yen Fook Sazali, Yaacob, Prof. Dr. Speech stuttering assessment using sample entropy and Least Square Support Vector Machine |
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Link to publisher's homepage at http://ieeexplore.ieee.org/ |
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hari@unimap.edu.my |
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hari@unimap.edu.my Muthusamy, Hariharan, Dr. Vijean, Vikneswaran Chong, Yen Fook Sazali, Yaacob, Prof. Dr. |
format |
Article |
author |
Muthusamy, Hariharan, Dr. Vijean, Vikneswaran Chong, Yen Fook Sazali, Yaacob, Prof. Dr. |
author_sort |
Muthusamy, Hariharan, Dr. |
title |
Speech stuttering assessment using sample entropy and Least Square Support Vector Machine |
title_short |
Speech stuttering assessment using sample entropy and Least Square Support Vector Machine |
title_full |
Speech stuttering assessment using sample entropy and Least Square Support Vector Machine |
title_fullStr |
Speech stuttering assessment using sample entropy and Least Square Support Vector Machine |
title_full_unstemmed |
Speech stuttering assessment using sample entropy and Least Square Support Vector Machine |
title_sort |
speech stuttering assessment using sample entropy and least square support vector machine |
publisher |
Institute of Electrical and Electronics Engineers (IEEE) |
publishDate |
2013 |
url |
http://dspace.unimap.edu.my/xmlui/handle/123456789/26409 |
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1643794934967304192 |
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13.222552 |