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EEG based detection of conductive and sensorineural hearing loss using artificial neural networks
(Advanced Institute of Convergence IT, 2013-05)
In this paper, a simple method has been proposed to distinguish the normal and abnormal hearing subjects (conductive or sensorineural hearing loss) using acoustically stimulated EEG signals. Auditory Evoked Potential (AEP) ...
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 ...
Classroom speech intelligibility prediction using Elman neural network
(Institute of Electrical and Electronics Engineers (IEEE), 2010-05-21)
A study was conducted to develop a simple system for
classrooms speech intelligibility prediction. In this study, several
classrooms properties such as size, signal-to-noise ratio (SNR)
and Speech Transmission Index ...
A face recognition system using template matching and neural network classifier
(Kolej Universiti Kejuruteraan Utara Malaysia, 2005-05-14)
We develop a technique to identify an unknown person in a face image by using
template matching and neural network classifier. The technique is separated into three main steps namely; preprocessing, feature extraction and ...
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 ...
An automated cervical pre-cancerous diagnostic system
(Elsevier B.V., 2008-01)
Objective: This paper proposes to develop an automated diagnostic system for cervical pre-cancerous. Methods and data samples: The proposed automated diagnostic system consists of two parts; an automatic feature extraction ...
Tuberculosis bacilli detection in Ziehl-Neelsen-stained tissue using affine moment invariants and extreme learning machine
(Institute of Electrical and Electronics Engineers (IEEE), 2011-03-04)
This paper describes an approach to automate the detection and classification of tuberculosis (TB) bacilli in tissue section using image processing technique and feedforward neural network trained by Extreme Learning ...