Browsing Paulraj Murugesa Pandiyan, Assoc. Prof. Dr. by Subject "Artificial neural network"
Now showing items 1-2 of 2
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Diagnosis of vocal fold pathology using time-domain features and systole activated neural network
(Institute of Electrical and Elctronics Engineering (IEEE), 2009-03-06)Due to the nature of job, unhealthy social habits and voice abuse, the 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. ... -
Vehicle interior sound quality evaluation using energy based features
(Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 2010-10-16)The comfort in the car interior is already become a need for the passengers and the buyers. Due to high competition in car industries, all the car manufacturers are concentrating in improving the interior noise comfort of ...