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Speech stuttering assessment using sample entropy and Least Square Support Vector Machine

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Bibliographic Details
Main Authors: Muthusamy, Hariharan, Dr., Vijean, Vikneswaran, Chong, Yen Fook, Sazali, Yaacob, Prof. Dr.
Other Authors: hari@unimap.edu.my
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2013
Subjects:
Bark scale
Erb Scale
Least square support vector machine
Mel scale
Sample entropy
Wavelet packet decomposition
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/26409
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spelling 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)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Bark scale
Erb Scale
Least square support vector machine
Mel scale
Sample entropy
Sample entropy
Wavelet packet decomposition
spellingShingle 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
description Link to publisher's homepage at http://ieeexplore.ieee.org/
author2 hari@unimap.edu.my
author_facet 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
_version_ 1643794934967304192
score 13.214268

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