Statistical formant descriptors with linear predictive coefficients for accent classification
Proceeding of The 8th Conference on Industrial Electronics and Applications 2013 (ICIEA 2013) at Melbourne, VIC, Australia on 19 June 2013 through 21 June 2013
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Institute of Electrical and Electronics Engineers (IEEE)
2014
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my.unimap-341962014-06-27T09:17:09Z Statistical formant descriptors with linear predictive coefficients for accent classification Yusnita, Mohd Ali Pandiyan, Paulraj Murugesa , Prof. Dr. Sazali, Yaacob, Prof. Dr. Shahriman, Abu Bakar, Dr. Nor Fadzilah, Mokhtar yusnita082@ppinang.uitm.edu.my paul@unimap.edu.my s.yaacob@unimap.edu.my shahriman@unimap.edu.my norfadzilah105@ppinang.uitm.edu.my Accent classification Formants K-nearest Neighbors Linear Predictive Coding Malaysian English Proceeding of The 8th Conference on Industrial Electronics and Applications 2013 (ICIEA 2013) at Melbourne, VIC, Australia on 19 June 2013 through 21 June 2013 Accent is a special trait of human speech that can deliver some information about a speaker's background. At the same time it is one of the profound factors that affects the intelligibility and performance of speech recognition systems (ASRs) if not delicately handled. Normally accent recognizer in the preceding stage offers subsystem training or adaptation strategy to improve the ASRs. Formant analysis is one of the effective techniques used to extract accent information in speech. In this paper we propose a novel way of modifying formants using statistical descriptors and fusion with linear predictive coefficients (LPC). As a result, the deviation of scores from the means can be reduced and resulted in better accuracy rate. This work was based on database of accents in Malaysian English that are ethnically diverse in nature. Experimental results showed that the proposed fusion of LPC with statistically derived fmntRRS has achieved an increase of 7.61% in the accuracy rate over using LPC alone in the quest to classify three-accent problem. 2014-04-30T07:31:04Z 2014-04-30T07:31:04Z 2013-06 Working Paper p. 906-911 978-146736321-1 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6566496 http://dspace.unimap.edu.my:80/dspace/handle/123456789/34196 en Proceeding of The 8th Conference on Industrial Electronics and Applications 2013 (ICIEA 2013); Institute of Electrical and Electronics Engineers (IEEE) |
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Accent classification Formants K-nearest Neighbors Linear Predictive Coding Malaysian English |
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Accent classification Formants K-nearest Neighbors Linear Predictive Coding Malaysian English Yusnita, Mohd Ali Pandiyan, Paulraj Murugesa , Prof. Dr. Sazali, Yaacob, Prof. Dr. Shahriman, Abu Bakar, Dr. Nor Fadzilah, Mokhtar Statistical formant descriptors with linear predictive coefficients for accent classification |
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Proceeding of The 8th Conference on Industrial Electronics and Applications 2013 (ICIEA 2013) at Melbourne, VIC, Australia on 19 June 2013 through 21 June 2013 |
author2 |
yusnita082@ppinang.uitm.edu.my |
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yusnita082@ppinang.uitm.edu.my Yusnita, Mohd Ali Pandiyan, Paulraj Murugesa , Prof. Dr. Sazali, Yaacob, Prof. Dr. Shahriman, Abu Bakar, Dr. Nor Fadzilah, Mokhtar |
format |
Working Paper |
author |
Yusnita, Mohd Ali Pandiyan, Paulraj Murugesa , Prof. Dr. Sazali, Yaacob, Prof. Dr. Shahriman, Abu Bakar, Dr. Nor Fadzilah, Mokhtar |
author_sort |
Yusnita, Mohd Ali |
title |
Statistical formant descriptors with linear predictive coefficients for accent classification |
title_short |
Statistical formant descriptors with linear predictive coefficients for accent classification |
title_full |
Statistical formant descriptors with linear predictive coefficients for accent classification |
title_fullStr |
Statistical formant descriptors with linear predictive coefficients for accent classification |
title_full_unstemmed |
Statistical formant descriptors with linear predictive coefficients for accent classification |
title_sort |
statistical formant descriptors with linear predictive coefficients for accent classification |
publisher |
Institute of Electrical and Electronics Engineers (IEEE) |
publishDate |
2014 |
url |
http://dspace.unimap.edu.my:80/dspace/handle/123456789/34196 |
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1643797419264049152 |
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13.214268 |