dc.contributor.author | Lim, Sin Chee | |
dc.contributor.author | Sazali, Yaacob, Prof. Madya Dr. | |
dc.contributor.author | Muthusamy, Hariharan | |
dc.date.accessioned | 2012-10-30T03:50:34Z | |
dc.date.available | 2012-10-30T03:50:34Z | |
dc.date.issued | 2010-10-16 | |
dc.identifier.isbn | 978-967-5760-03-7 | |
dc.identifier.uri | http://dspace.unimap.edu.my/123456789/21568 | |
dc.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. | en_US |
dc.description.abstract | 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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Universiti Malaysia Perlis (UniMAP) | en_US |
dc.relation.ispartofseries | Proceedings of the International Postgraduate Conference on Engineering (IPCE 2010) | en_US |
dc.subject | Speech dysfluencies | en_US |
dc.subject | Speech | en_US |
dc.subject | Statistical normalization (SN) | en_US |
dc.subject | Speech language pathologist (SLP) | en_US |
dc.subject | Cepstral mean variance normalization (CMVN) | en_US |
dc.title | Effect of normalization method on classification of speech dysfluencies using LPC, LPCC and WLPCC | en_US |
dc.type | Working Paper | en_US |
dc.publisher.department | Centre for Graduate Studies | en_US |
dc.contributor.url | s0830610303@student.unimap.edu. my | en_US |
dc.contributor.url | sazali22@yahoo.com | en_US |
dc.contributor.url | wavelet.hari@gmail.com | en_US |