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Now showing items 11-20 of 47
Improved back propagation neural network for the diagnosis of pathological voices
(Association for Advancedment of Modelling and Simulation Techniques in Entreprises (A.M.S.E), 2008)
Most of vocal and voice diseases cause changes in the voice. ENT clinicians use acoustic voice analysis to characterize the pathological voices. Nowadays, voice diseases are increasing dramatically due to unhealthy social ...
Motorbike engine faults diagnosing system using neural network
(IEEE Conference Publications, 2008-12)
Monitoring systems for motorbike industry requires high and efficient degree of performance. In recent years, automatic identification and diagnosis of motorbike engine faults has become a very complex and critical task. ...
Discrimination of pathological voices using systole activated neural network
(Noise, Vibration and Comfort Research Group, 2007-11-27)
The discrimination of normal and pathological voices using noninvasive acoustical analysis features helps speech specialits to perform accurate diagnoses of vocal and voices disease. Acoustic analysis is a non-invasive ...
Analysis of classroom speech intelligibility using fuzzy linear regression model
(Universiti Malaysia Perlis, 2006)
Speech is defined as a process of producing sounds confirming to an accepted code by the human vocal apparatus. These sounds are perceived by the ear-brain system with the primary purpose of conveying thoughts. The ...
Face emotion recognition
(Universiti Malaysia Perlis (UniMAP), 2007-01)
Identification of vocal fold pathology based on Mel Frequency Band Energy Coefficients and singular value decomposition
(Institute of Electrical and Elctronics Engineering (IEEE), 2009-11-18)
Many approaches have been developed to detect the vocal fold pathology. Among the approaches, analysis of speech has proved to be an excellent tool for vocal fold pathology detection. This paper presents the Mel Frequency ...
Heart Caring "Handy" - Prototype
(Malaysian Invention and Design Society (MINDS), 2006-05-19)
"Heart Carrying Handy" is designed to detect early abnormality in the heart pulse which will be deemed as a pre-heart attack sympton.
Gesture recognition system for Kod Tangan Bahasa Melayu (KTBM) using neural network
(Institute of Electrical and Elctronics Engineering (IEEE), 2009-03-06)
This paper presents simple methods for translating Kod Tangan Bahasa Melayu (KTBM) into voice signal based on subject head and two hand gestures. Different gesture signs made by different subjects are captured using a USB ...
Loudspeaker fault detection using artificial neural network
(Institute of Electrical and Elctronics Engineering (IEEE), 2009-03-06)
Traditionally, loudspeaker's quality control has been done manually and inspection of loudspeaker faults is time consuming and causes error in the quality evaluation. In order to reduce the time consumption and errors in ...
Brain machine interface: Analysis of segmented EEG signal classification using short-time PCA and recurrent neural networks
(University of Basrah, 2008)
Brain machine interface provides a communication channel between the human brain and an
external device. Brain interfaces are studied to provide rehabilitation to patients with
neurodegenerative diseases; such patients ...