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In this paper, an efficient lip contour extraction scheme is proposed. From a given video frame, first the mouth region is extracted by using pixel threshold based binary conversion and detection of largest object in that region. Analysing the variation of pixel intensity pattern of RGB and a weighted colour plane, intensity ratio based lip region detection is performed, which provides accurate estimate...
This paper describes several Sound-Packet segmentation techniques, which will facilitate Automatic Speech Recognition (ASR) for Bangla speech signal. The approximate duration of a sound-packet has been determined and an envelope-detection method has been presented to determine the end-points of sound-packets. The 1st difference method, based on moving average of 1st difference of the signal, is then...
This paper addresses short-term load forecasting using machine learning and neural network techniques. Neural networks, though accurate in weekday load forecasting, are poor at forecasting maximum daily load, weekend and holiday loads. This necessitates development of a robust forecasting technique to complement the neural networks for enhanced reliability of forecast and improved overall accuracy...
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