Search
Now showing items 1-10 of 14
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 ...
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 ...
Prediction of Reverberation time in university classrooms using Neural Network
(Universiti Kebangsaan Malaysia, 2007)
Reverberation time is fundamental to the study of the acoustics of an enclosed space. An important objective of architectural acoustics is to predict the reverberation time in an enclosed space. Reverberation time is also ...
Face Emotion Recognition - A survey
(Oita University, 2006-01-23)
The facial emotion is playing a vital role in visual communication system. The vision system is being integrated to the robot to recognize the facial gestures or emotion. The integration of the vision system and EMG sensors ...
Prediction of psychoacoustic parameters using radial basic functions neural network
(Karpagam College of Engineering, 2008-02-01)
The ability of human listeners to estimate psychoacoustic parameters from the speakers speech levels at different listener's positions in a classroom is an interesting and not yet thoroughly examined phenomenon. The goal ...
Classroom speech intelligibility prediction using backpropagation Neural Network
(Coimbatore Institute of Technology, 2007-08-27)
In terms of individual communication, speech is the most important and efficient means, even in today's multi-media society. Thus, classrooms are mainly used for delivering speech between lecturers and students, it is ...
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 ...
Malaysian vowel recognition based on spectral envelope using bandwidth approach
(Institute of Electrical and Electronics Engineering (IEEE), 2009-05-25)
Automatic speech recognition (ASR) has made great strides with the development of digital signal processing hardware and software especially using English as the language of choice. In this paper, a new feature extraction ...
An investigation on visual and audiovisual stimulus based emotion recognition using EEG
(Inderscience Enterprises Ltd., 2009-01)
In this paper, we investigate the possibility of using visual and audio visual stimulus for detecting the human emotion by measuring electroencephalogram (EEG). Visual and audiovisual stimulus based protocols is designed ...