PROSPECTIVE ARABIC LANGUAGE DATA BASE FOR IDENTIFICATION AND RECOGNITION OF VOICE DISORDER
DOI:
https://doi.org/10.57041/pjs.v73i1.655Keywords:
Acoustic analysis, Clinical voice pathology, Voice disorder, AVPD, machine learning techniqueAbstract
Speech is the underlying strong characteristic and voice is the vibration that the air creates as it's pushed out of the lungs and going into the vocal cords. Vocal cords are two folds of tissue within the larynx, sometimes called a speech box, the sound of these strings is what gives rise to speech.Anything that interferes with vocal cord movement or contact can cause a voice disorder. Speech production may often be compromised as social stressors contribute to chronic aphonia or dysphonia.Machine learning algorithm and non-invasive systems may play a major role in the early detection and in tracking and even development of efficient pathological speech diagnosis, based on a computerized acoustic analysis. A strong voice impairment dataset will help in recognition and classification ofincreasing number of voice disorders in and outside the Arab area. The database protocols for AVPD (Arabic voice pathology database) has been developed in a way to prevent previous data base deficiencies in widely used databases like MEEI (Massachusetts eye and ear infirmary) and SVD (Saarbrücken voice database).
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 Pakistan Journal of Science
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
http://creativecommons.org/licenses/by-sa/4.0