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Normal and hypoacoustic infant cry signal classification using time-frequency analysis and general regression neural network
(Elsevier Ireland Ltd., 2012-11)
Crying is the most noticeable behavior of infancy. Infant cry signals can be used to identify physical or psychological status of an infant. Recently, acoustic analysis of infant cry signal has shown promising results and ...
Human Affective (Emotion) behaviour analysis using speech signals: A review
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
Affective (Emotional) state of a person is very important in medical application due to the fact that it can indicate the stress level of an individual. This can be done through manipulating the speech signal of
individual ...
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 ...
Classification of speech dysfluencies with MFCC and LPCC features
(Elsevier Ltd., 2012-02)
The goal of this paper is to discuss comparison of speech parameterization methods: Mel-Frequency Cepstrum Coefficients (MFCC) and Linear Prediction Cepstrum Coefficients (LPCC) for recognizing the stuttered events. Speech ...
Improving gas component detection of an ultrasonic tomography system for monitoring liquid/gas flow
(Institute of Electrical and Electronics Engineers (IEEE), 2010-05-21)
The development of an ultrasonic transmission
tomography system is described. The system is intended for the
imaging of two component flows (such as gas/water) inside pipes
of industrial processes. Transmission-mode ...
Asynchronous brain machine interface-based control of a wheelchair
(Springerlink, 2011)
A brain machine interface (BMI) design for controlling the navigation of a power wheelchair is proposed. Real-time experiments with four able bodied subjects are carried out using the BMI-controlled wheelchair. The BMI is ...
Automated system for stress evaluation based on EEG signal: A prospective review
(Institute of Electrical and Electronics Engineers (IEEE), 2011-03-04)
This paper reviews the issues related to the automated system for stress evaluation based on brain signal. It describes the current status of mental health especially in Malaysia. The anatomy of stress is briefly discussed ...
An Intelligent Gesture to Voice Communication System for Hearing Impaired
(Universiti Malaysia Perlis, 2010-01-07)
The designed system is accessible and user friendly. This system is primarily designed for deaf, deafened and hard of hearing people to solve their communication problems and gives them the same whole life experience to ...
Voiceless Voice : An Intelligent Communication System for Physically Retarded Communities
(Universiti Malaysia Perlis, 2010-01-07)
The Intelligent Voiceless communication is a device which can help the physically retarded peoples to communicate with the outside world by using their brain signals. Our product makes use of the active brain functions of ...
Time-domain features and probabilistic neural network for the detection of vocal fold pathology
(Universiti Malaya, 2010)
Due to the nature of job, unhealthy social habits and voice abuse, 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. ...