Voice Pathology Recognition and Classification using Noise Related Features
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2018, Vol 9, Issue 11
Abstract
Nowadays, the diseases of the voice increase because of bad social habits and the misuse of voice. These pathologies should be treated from the beginning. Indeed, it is no longer necessary that the diseases of the voice lead to affect the quality of the voice as heard by a listener. The most useful tool for diagnosing such diseases is the Acoustic analysis. We present in this work, new expression parameters in order to clarify the description of the vocal signal. These parameters help to classify the unhealthy voices. They describes essentially the fundamental frequency F0, the Harmonics-to-Noise report HNR, the report Noise to Harmonics Ratio NHR and Detrended Fluctuation Analysis (DFA). The classification is performed on two Saarbruecken Voice and MEEI pathological databases using HTK classifiers. We can classify them into two different type: the first classification is binary which is used for the normal and pathological voices, the second one is called a four-category classification used in spasmodic, polyp, nodule and normal female voices and male speakers. And we studied the effects of these new parameters when combined with the MFCC, Delta, Delta second and Energy coefficients.
Authors and Affiliations
HAMDI Rabeh, Hajji Salah, CHERIF Adnane
Keywords
Related Articles
- EP ID EP417600
- DOI 10.14569/IJACSA.2018.091112
- Views 111
- Downloads 0
Distributed Group Key Management with Cluster based Communication for Dynamic Peer Groups
Secure group communication is an increasingly popular research area having received much attention in recent years. Group key management is a fundamental building block for secure group communication systems. This paper...
A Feature Selection Algorithm based on Mutual Information using Local Non-uniformity Correction Estimator
Feature subset selection is an effective approach used to select a compact subset of features from the original set. This approach is used to remove irrelevant and redundant features from datasets. In this paper, a novel...
A Comprehensive Analysis of Materialized Views in a Data Warehouse Environment
Data in a warehouse can be perceived as a collection of materialized views that are generated as per the user requirements specified in the queries being generated against the information contained in the wareh...
Interactive Hypermedia Programs and its Impact on the Achievement of University Students Academically Defaulting in Computer Sciences
Traditional teaching practices through lecture series in a classroom have shown to have less universal efficacy in imparting knowledge to every student. Some students encounter problems in this traditional setting, espec...
An Efficient Participant’s Selection Algorithm for Crowdsensing
With the advancement of mobile technology the use of Smartphone is greatly increased. Everyone has the mobile phones and it becomes the necessity of life. Today, smart devices are flooding the internet data at every time...