Search
Now showing items 1-10 of 22
Neural network based detection of voice disorders using energy spectrum and equal-loudness contours
(Universiti Teknologi MARA (UiTM), 2008-03-07)
Impairment of vocal function can have a major impact on the quality of life, severely limiting communication at work and affecting all social aspect of daily life. In the recent years, voice disease are increasing dramatically ...
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 ...
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 ...
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 ...
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. ...
Y-Thompson regulating control using adaptive predictive fuzzy logic for a micro-satellite
(Institute of Electrical and Elctronics Engineering (IEEE), 2009-03-06)
Attitude control system is designed to change the attitude of a satellite, able to meet pointing requirement, eliminating external disturbances, a low-cost controller as well as a high reliability control system which can ...
Personalized human emotion classification using genetic algorithm
(Institute of Electrical and Elctronics Engineering (IEEE), 2009-07-05)
In this paper, lip and eye features are applied to classify the human emotion through a set of irregular and regular ellipse fitting equations using Genetic algorithm (GA). South East Asian face is considered in this study. ...
Entropy based feature extraction for motorbike engine faults diagnosing using neural network and wavelet transform
(Institute of Electrical and Elctronics Engineering (IEEE), 2009-03-06)
The sound of working vehicle provides an important clue for engine faults diagnosis. Endless efforts have been put into the research of fault diagnosis based on sound. It offers concrete economic benefits, which can lead ...
Development of attitude control system on RCM3400 microcontroller
(Institute of Electrical and Electronic Engineers (IEEE), 2009-02-17)
This paper describes the development of a nanosatellite altitude control system (ACS) which employ a filter base controller with comparison with a simple adaptive predictive fuzzy logic controller (APFLC) for a 1, 2 and 3 ...