MFCC based recognition of repetitions and prolongations in stuttered speech using k-NN and LDA
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Institute of Electrical and Elctronics Engineering (IEEE)
2010
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my.unimap-87602010-08-17T09:14:35Z MFCC based recognition of repetitions and prolongations in stuttered speech using k-NN and LDA Lim, Sin Chee Ooi, Chia Ai Hariharan, Muthusamy Sazali, Yaacob, Prof. k-nearest neighbors (k-NN) Linear Discriminant Analysis (LDA) Mel Frequency Cepstral Coefficient (MFCC) Stuttering Student Conference Research and Development (SCOReD) Link to publisher's homepage at http://ieeexplore.ieee.org/ Stuttering is a speech disorder in which the normal flow of speech is disrupted by occurrences of dysfluencies, such as repetitions, interjection and so on. There are a high proportion of repetitions and prolongations in stuttered speech, usually at the beginning of sentences. Consequently, acoustic analysis can be used to classify the stuttered events. This paper describes particular stuttering events to be located as repetitions and prolongations in stuttered speech with feature extraction algorithm. The well known Mel Frequency Cepstral Coefficient (MFCC) feature extraction is implemented to test its effectiveness in recognizing prolongations and repetitions in a stuttered speech. In this work, two classifiers such as Linear Discriminant Analysis based classifier (LDA) and k-nearest neighbors (k-NN) are employed and k-fold cross-validation was applied to measure classifiers performances. The result of this work shows that the MFCC and classifiers (LDA and k-NN) can be used for recognition of repetitions and prolongations in stuttered speech with the average accuracy of 90%. 2010-08-17T09:14:35Z 2010-08-17T09:14:35Z 2009-11-16 Working Paper p.146-149 978-1-4244-5186-9 http://ezproxy.unimap.edu.my:2080/search/searchresult.jsp?newsearch=true&queryText=MFCC+based+recognition+of+repetitions+and+prolongations+in+stuttered+speech+using+k-NN+and+LDA&x=59&y=14 http://hdl.handle.net/123456789/8760 en Proceedings of the Student Conference on Research and Development (SCOReD) 2009 Institute of Electrical and Elctronics Engineering (IEEE) |
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| topic |
k-nearest neighbors (k-NN) Linear Discriminant Analysis (LDA) Mel Frequency Cepstral Coefficient (MFCC) Stuttering Student Conference Research and Development (SCOReD) |
| spellingShingle |
k-nearest neighbors (k-NN) Linear Discriminant Analysis (LDA) Mel Frequency Cepstral Coefficient (MFCC) Stuttering Student Conference Research and Development (SCOReD) Lim, Sin Chee Ooi, Chia Ai Hariharan, Muthusamy Sazali, Yaacob, Prof. MFCC based recognition of repetitions and prolongations in stuttered speech using k-NN and LDA |
| description |
Link to publisher's homepage at http://ieeexplore.ieee.org/ |
| format |
Working Paper |
| author |
Lim, Sin Chee Ooi, Chia Ai Hariharan, Muthusamy Sazali, Yaacob, Prof. |
| author_facet |
Lim, Sin Chee Ooi, Chia Ai Hariharan, Muthusamy Sazali, Yaacob, Prof. |
| author_sort |
Lim, Sin Chee |
| title |
MFCC based recognition of repetitions and prolongations in stuttered speech using k-NN and LDA |
| title_short |
MFCC based recognition of repetitions and prolongations in stuttered speech using k-NN and LDA |
| title_full |
MFCC based recognition of repetitions and prolongations in stuttered speech using k-NN and LDA |
| title_fullStr |
MFCC based recognition of repetitions and prolongations in stuttered speech using k-NN and LDA |
| title_full_unstemmed |
MFCC based recognition of repetitions and prolongations in stuttered speech using k-NN and LDA |
| title_sort |
mfcc based recognition of repetitions and prolongations in stuttered speech using k-nn and lda |
| publisher |
Institute of Electrical and Elctronics Engineering (IEEE) |
| publishDate |
2010 |
| url |
http://dspace.unimap.edu.my/xmlui/handle/123456789/8760 |
| _version_ |
1643789208483004416 |
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13.214268 |