Search
Now showing items 1-10 of 17
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 ...
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. ...
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 ...
Neural network models for speech inteligibility assessment in university classroom
(Kongu Engineering College, 2008-01-03)
Adequate speech intelligibility should be the primary goal in acoustical design of classrooms. Typical design parameters are reverberation time and background noise level. However for predicting the Speech Transmission ...
Vowel classification based on frequency response of vocal tract
(Institute of Electrical and Electronics Engineering (IEEE), 2008-05)
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 modified feature ...
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 ...
Functional link PSO neural network based classification of EEG mental task signals
(Institute of Electrical and Electronics Engineering (IEEE), 2008-08-26)
Classification of EEG mental task signals is a technique in the design of Brain machine interface [BMI]. A BMI can provide a digital channel for communication in the absence of the biological channels and are used to ...
Recognition of motor imagery of hand movements for a BMI using PCA features
(Institute of Electrical and Electronics Engineering (IEEE), 2008-12-01)
Motor imagery is the mental simulation of a motor act that includes preparation for movement and mental operations of motor representations implicitly or explicitly. The ability of an individual to control his EEG through ...
EEG signal classification using Particle Swarm Optimization (PSO) neural network for brain machine interfaces
(Association for the Advancement of Modelling & Simulation Techniques in Enterprises (A.M.S.E.), 2008)
The brain uses the neuromuscular channels to communicate and control its external environment, however many disorders can disrupt these channels. Amyotrophic lateral sclerosis is one such disorder which impairs the neural ...