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Time-domain features and probabilistic neural network for the detection of vocal fold pathology
(Universiti Malaya, 2010)
Due to the nature of job, unhealthy social habits and voice abuse, people are subjected to the risk of voice problems. It is well known that most of vocal fold pathologies cause changes in the acoustic voice signal. ...
Non-invasive pathological voice classifications using linear and non-linear classifiers
(Universiti Malaysia Perlis (UniMAP), 2010)
In this research work, a non-invasive method is conducted to diagnose the voice diseases
through acoustic analysis of voice signal. Three feature extraction methods are proposed based
on the time-domain energy variations, ...