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 115
- Downloads 0
Mobile Technology based Polio-Vaccination System (PVS) – First Step Towards Polio-Free Pakistan
Health information technology revolutionized the world with its great expansion and widespread in the domain of health care system. Most of the developed countries adopted advanced technology in their vaccination systems...
Microcontroller-based RFID, GSM and GPS for Motorcycle Security System
The crime level including motorcycle theft has been increasing. It occurs regardless the time and place. The owner of the motorcycle needs to ensure the security of his motorcycle by adding either manual or electronic lo...
Performance Analysis of Machine Learning Algorithms for Missing Value Imputation
Data mining requires a pre-processing task in which the data are prepared, cleaned, integrated, transformed, reduced and discretized for ensuring the quality. Missing values is a universal problem in many research domain...
Ultrafast Scalable Embedded DCT Image Coding for Tele-immersive Delay-Sensitive Collaboration
A delay-sensitive, real-time, tele-immersive collaboration for the future requires much lower end-to-end delay (EED) for good synchronization than that for existing teleconference systems. Hence, the maximum EED must be...
Product Feature Ranking and Popularity Model based on Sentiment Comments
This paper proposes the development of a model to determine feature popularity ranking for products in the market. Each feature that is reviewed by a customer has a relation to sentiment words present in the sentences wi...