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Feature space reduction in ethnically diverse Malaysian English accents classification
(IEEE Conference Publications, 2013)
In this paper we propose a reduced dimensional space of statistical descriptors of mel-bands spectral energy (MBSE) vectors for accent classification of Malaysian English (MalE) speakers caused by diverse ethnics. Principle ...
Implementing eigen features methods/neural network for EEG signal analysis
(Institute of Electrical and Electronics Engineers (IEEE), 2013-01)
This paper presented the possibility of implementing eigenvector methods to represent the features of electroencephalogram signal. In this study, three eigenvector methods were investigated namely Pisarenko, Multiple Signal ...
Erratum: Adaptive boosting with SVM classifier for moving vehicle classification
(Elsevier Ltd, 2013)
Profoundly hearing impaired community (PHIC) cannot moderate wisely an acoustic noise ema- nated from moving vehicle in outdoor. They are not able to distinguish either type or distance of moving vehicle approaching from ...
Statistical formant descriptors with linear predictive coefficients for accent classification
(Institute of Electrical and Electronics Engineers (IEEE), 2013-06)
Accent is a special trait of human speech that can deliver some information about a speaker's background. At the same time it is one of the profound factors that affects the intelligibility and performance of speech ...
Moving vehicle recognition and classification based on time domain approach
(Elsevier Ltd, 2013)
Differentially Hearing Ability Enabled (DHAE) community cannot discriminate the sound information from a moving vehicle approaching from their behind. This research work is mainly focused on recognition of different vehicles ...
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) ...
Structural steel plate damage detection using non destructive testing, frame energy based statistical features and artificial neural networks
(Elsevier Ltd., 2013)
This paper discusses about the detection of damages present in the steel plates using nondestructive vibration testing. A simple experimental model has been developed to hold the steel plate complying with the simply ...
Steel plate damage diagnosis using probabilistic neural network
(IEEE Conference Publications, 2013-01)
This paper discusses the application of frame energy based DFT spectral band features for the detection of damages in steel plates. A simple experimental model is devised to suspend the steel plates in a free-free condition. ...