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An ANN-based Method for Detecting Vocal Fold Pathology

by Vahid Majidnezhad, Igor Kheidorov
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 62 - Number 7
Year of Publication: 2013
Authors: Vahid Majidnezhad, Igor Kheidorov
10.5120/10089-4722

Vahid Majidnezhad, Igor Kheidorov . An ANN-based Method for Detecting Vocal Fold Pathology. International Journal of Computer Applications. 62, 7 ( January 2013), 1-4. DOI=10.5120/10089-4722

@article{ 10.5120/10089-4722,
author = { Vahid Majidnezhad, Igor Kheidorov },
title = { An ANN-based Method for Detecting Vocal Fold Pathology },
journal = { International Journal of Computer Applications },
issue_date = { January 2013 },
volume = { 62 },
number = { 7 },
month = { January },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume62/number7/10089-4722/ },
doi = { 10.5120/10089-4722 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:11:05.230720+05:30
%A Vahid Majidnezhad
%A Igor Kheidorov
%T An ANN-based Method for Detecting Vocal Fold Pathology
%J International Journal of Computer Applications
%@ 0975-8887
%V 62
%N 7
%P 1-4
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

There are different algorithms for vocal fold pathology diagnosis. These algorithms usually have three stages which are Feature Extraction, Feature Reduction and Classification. While the third stage implies a choice of a variety of machine learning methods, the first and second stages play a critical role in performance and accuracy of the classification system. In this paper we present initial study of feature extraction and feature reduction in the task of vocal fold pathology diagnosis. A new type of feature vector, based on wavelet packet decomposition and Mel-Frequency-Cepstral-Coefficients (MFCCs), is proposed. Also Principal Component Analysis (PCA) is used for feature reduction. An Artificial Neural Network is used as a classifier for evaluating the performance of our proposed method.

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Index Terms

Computer Science
Information Sciences

Keywords

Wavelet Packet Decomposition Mel-Frequency-Cepstral-Coefficient (MFCC) Principal Component Analysis (PCA) Artificial Neural Network (ANN)

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