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Effect of normalization method on classification of speech dysfluencies using LPC, LPCC and WLPCC

International Postgraduate Conference On Engineering (IPCE 2010), 16th - 17th October 2010 organized by Centre for Graduate Studies, Universiti Malaysia Perlis (UniMAP) at School of Mechatronic Engineering, Pauh Putra Campus, Perlis, Malaysia.

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Bibliographic Details
Main Authors: Lim, Sin Chee, Sazali, Yaacob, Prof. Madya Dr., Muthusamy, Hariharan
Other Authors: s0830610303@student.unimap.edu. my
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2012
Subjects:
Speech dysfluencies
Speech
Statistical normalization (SN)
Speech language pathologist (SLP)
Cepstral mean variance normalization (CMVN)
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/21568
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spelling my.unimap-215682012-10-30T03:50:35Z Effect of normalization method on classification of speech dysfluencies using LPC, LPCC and WLPCC Lim, Sin Chee Sazali, Yaacob, Prof. Madya Dr. Muthusamy, Hariharan s0830610303@student.unimap.edu. my sazali22@yahoo.com wavelet.hari@gmail.com Speech dysfluencies Speech Statistical normalization (SN) Speech language pathologist (SLP) Cepstral mean variance normalization (CMVN) International Postgraduate Conference On Engineering (IPCE 2010), 16th - 17th October 2010 organized by Centre for Graduate Studies, Universiti Malaysia Perlis (UniMAP) at School of Mechatronic Engineering, Pauh Putra Campus, Perlis, Malaysia. The main aim of this paper is to discuss the enhancement of the classification performance on the speech dysfluencies, namely, prolongations and repetitions after employ statistical normalization (SN) on signal and cepstral mean variance normalization (CMVN) on the Linear Pridictive Coding (LPC), Linear Prediction Cepstral Coefficient (LPCC) and Weighted Linear Prediction Cepstral Coefficient (WLPCC) features. In addition, the ability of LPC, LPCC and WLPCC on the types of speech dysfluencies are compared. Linear Discriminant Analysis (LDA) is applied to classify the types of dysfluencies. Conventional validation method is use for evaluating the reliability of the classifier. The experimental investigation clarifies that the WLPCC features gives a superior result of 94.90% and outperforms the LPC and LPCC features. 2012-10-30T03:50:34Z 2012-10-30T03:50:34Z 2010-10-16 Working Paper 978-967-5760-03-7 http://hdl.handle.net/123456789/21568 en Proceedings of the International Postgraduate Conference on Engineering (IPCE 2010) Universiti Malaysia Perlis (UniMAP) Centre for Graduate Studies
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 Speech dysfluencies
Speech
Statistical normalization (SN)
Speech language pathologist (SLP)
Cepstral mean variance normalization (CMVN)
spellingShingle Speech dysfluencies
Speech
Statistical normalization (SN)
Speech language pathologist (SLP)
Cepstral mean variance normalization (CMVN)
Lim, Sin Chee
Sazali, Yaacob, Prof. Madya Dr.
Muthusamy, Hariharan
Effect of normalization method on classification of speech dysfluencies using LPC, LPCC and WLPCC
description International Postgraduate Conference On Engineering (IPCE 2010), 16th - 17th October 2010 organized by Centre for Graduate Studies, Universiti Malaysia Perlis (UniMAP) at School of Mechatronic Engineering, Pauh Putra Campus, Perlis, Malaysia.
author2 s0830610303@student.unimap.edu. my
author_facet s0830610303@student.unimap.edu. my
Lim, Sin Chee
Sazali, Yaacob, Prof. Madya Dr.
Muthusamy, Hariharan
format Working Paper
author Lim, Sin Chee
Sazali, Yaacob, Prof. Madya Dr.
Muthusamy, Hariharan
author_sort Lim, Sin Chee
title Effect of normalization method on classification of speech dysfluencies using LPC, LPCC and WLPCC
title_short Effect of normalization method on classification of speech dysfluencies using LPC, LPCC and WLPCC
title_full Effect of normalization method on classification of speech dysfluencies using LPC, LPCC and WLPCC
title_fullStr Effect of normalization method on classification of speech dysfluencies using LPC, LPCC and WLPCC
title_full_unstemmed Effect of normalization method on classification of speech dysfluencies using LPC, LPCC and WLPCC
title_sort effect of normalization method on classification of speech dysfluencies using lpc, lpcc and wlpcc
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2012
url http://dspace.unimap.edu.my/xmlui/handle/123456789/21568
_version_ 1643793412279762944
score 13.15806

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