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Fuzzy voice classifier and fuzzy voice pathology identification system

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: Sathees Kumar, Nataraj, Sazali, Yaacob, Prof. Dr., Ahamad Nazri, Abdullah
Other Authors: satheesjuly4@gmail.com
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2012
Subjects:
Speech signal
Communication
Tri Mean relative average perturbation (Tri Mean-RAP)
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/21725
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spelling my.unimap-217252012-11-10T04:36:28Z Fuzzy voice classifier and fuzzy voice pathology identification system Sathees Kumar, Nataraj Sazali, Yaacob, Prof. Dr. Ahamad Nazri, Abdullah satheesjuly4@gmail.com Speech signal Communication Tri Mean relative average perturbation (Tri Mean-RAP) 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. Speech is one of the common modes of communication and it is a process of transferring information from one entity to another. In recent years there has been much research on unvoiced/voiced classification and voice pathology classification. In this research work a simple fuzzy classifier has been designed to segment the voiced and unvoiced portions of a speech signal. A simple feature extraction algorithm is proposed to extract the Tri Mean relative average perturbation (Tri Mean-RAP) features from the segmented voice portion of the speech signal. Further, the extracted Tri Mean-RAP features are used to model the fuzzy pathology identification system. In the proposed fuzzy classifier, the energy, change in energy and difference in the change in energy level between the adjacent frames are fuzzified and rules are formulated to segment the voiced portion. The Tri Mean-RAP features are then extracted from the segmented voice portion, the Tri Mean-RAP features are fuzzified and rules are formulated to identify the voice pathology of the speech signal. The proposed methods are validated through simulation. 2012-11-10T04:36:27Z 2012-11-10T04:36:27Z 2010-10-16 Working Paper 978-967-5760-03-7 http://hdl.handle.net/123456789/21725 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 signal
Communication
Tri Mean relative average perturbation (Tri Mean-RAP)
spellingShingle Speech signal
Communication
Tri Mean relative average perturbation (Tri Mean-RAP)
Sathees Kumar, Nataraj
Sazali, Yaacob, Prof. Dr.
Ahamad Nazri, Abdullah
Fuzzy voice classifier and fuzzy voice pathology identification system
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 satheesjuly4@gmail.com
author_facet satheesjuly4@gmail.com
Sathees Kumar, Nataraj
Sazali, Yaacob, Prof. Dr.
Ahamad Nazri, Abdullah
format Working Paper
author Sathees Kumar, Nataraj
Sazali, Yaacob, Prof. Dr.
Ahamad Nazri, Abdullah
author_sort Sathees Kumar, Nataraj
title Fuzzy voice classifier and fuzzy voice pathology identification system
title_short Fuzzy voice classifier and fuzzy voice pathology identification system
title_full Fuzzy voice classifier and fuzzy voice pathology identification system
title_fullStr Fuzzy voice classifier and fuzzy voice pathology identification system
title_full_unstemmed Fuzzy voice classifier and fuzzy voice pathology identification system
title_sort fuzzy voice classifier and fuzzy voice pathology identification system
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2012
url http://dspace.unimap.edu.my/xmlui/handle/123456789/21725
_version_ 1643793419672223744
score 13.222552

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