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Objective analysis of vision impairments using single trial VEPs
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
Visually evoked potential (VEP) is an electrical signal generated by the brain (Occipital Cortex) in response to a visual
stimuli. These VEP are recorded non-invasively by placing the surface electrodes at the scalp, and ...
Fuzzy voice classifier and fuzzy voice pathology identification system
(Universiti Malaysia Perlis (UniMAP), 2010-10-16)
Speech is one of the common modes of
communication and it is a process of transferring
information from one entity to another. In recent years
there has been much research on unvoiced/voiced
classification and voice ...
Automatic classification of infant cry: A review
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
This paper reviews the some of significant works on infant cry signal analysis proposed in the past two decades and reviews the recent progress in this field. The cry of baby cannot be predicted accurately where it is very ...
Assimilate the auditory scale with wavelet packet filters for multistyle classification of speech under stress
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
Nowadays, people are having high stress level due to highworkload stress, emergency phone call and multitasking. Emotional/stress of a person affects his/her performance in daily
life and speech production. The research ...
Human postures modeling using motion analysis: A review
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
Human motion analysis via computer vision is an important aspect in a wide range of application; ranging from human-computer interaction (HCI) to ergonomics and biomechanics. This paper presents an overview of all processes ...
A review: Malay speech recognition and audio visual speech recognition
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
Automatic speech recognition (ASR) is an area of research which deals with the recognition of speech by machine in several conditions. ASR performs well under restricted conditions (quiet environment), but performance ...
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 ...
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 ...
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 ...