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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Main Authors: Yusnita, Mohd Ali, Pandiyan, Paulraj Murugesa , Prof. Dr., Sazali, Yaacob, Prof. Dr., Shahriman, Abu Bakar, Dr., Nor Fadzilah, Mokhtar
Other Authors: yusnita082@ppinang.uitm.edu.my
Format: Working Paper
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2014
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Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/34196
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spelling 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)
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 Accent classification
Formants
K-nearest Neighbors
Linear Predictive Coding
Malaysian English
spellingShingle 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
description 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
author_facet 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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score 13.214268