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Synchronous brain machine interface design using focused time delay networks
(Universiti Malaysia Perlis (UniMAP), 2012-02-27)
Focused time delay neural network based design for a
four-state Brain Machine Interface (BMI) to drive a wheelchair is
analyzed. Motor imagery signals recorded noninvasively using two
bipolar electrodes are used in the ...
Structural steel plate damage detection using non destructive testing, frame energy based statistical features and artificial neural networks
(Malaysian Technical Universities Network (MTUN), 2012-11-20)
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 ...
Classification of speaker accent using hybrid DWT-LPC features and K-nearest neighbors in ethnically diverse Malaysian English
(IEEE Conference Publications, 2012-12)
Accent is a major cause of variability in automatic speaker-independent speech recognition systems. Under certain circumstances, this event introduces unsatisfactory performance of the systems. In order to circumvent this ...
Speaker accent recognition through statistical descriptors of Mel-bands spectral energy and neural network model
(IEEE Conference Publications, 2012-10)
Accent recognition is one of the most important topics in automatic speaker and speaker-independent speech recognition (SI-ASR) systems in recent years. The growth of voice-controlled technologies has becoming part of our ...
A phoneme based sign language recognition system using interleaving feature and neural network
(Universiti Malaysia Perlis (UniMAP), 2012-02-27)
A sign language is a language which, instead of
acoustically conveyed sound patterns, uses visually transmitted
sign patterns. Sign languages are commonly developed in hearing
impaired communities, which can include ...
Classification of vehicle noise comfort level using feedforward neural network
(Universiti Malaysia Perlis (UniMAP), 2012-02-27)
Application of frame energy based DCT moments for the damage diagnosis in steel plates using FLNN
(IEEE Conference Publications, 2012-12)
This paper discusses the application of frame energy based Discrete Cosine Transformation (DCT) moment features for the detection of damages in steel plates. A simple experimental model is devised to suspend the steel ...