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In this paper, we proposed a robust speech feature extraction algorithm for automatic speech recognition which reduced the noise effect in the temporal modulation domain. The proposed algorithm has two steps to deal with the time series of cepstral coefficients. The first step adopted a modulation contrast normalization to normalize the temporal modulation contrast of both clean and noisy speech to...
We introduce a new structural constraint that can be used for matching points in image pairs taken from a wide baseline. No assumption is made about the geometry of the 3D points or of surfaces in the scene, nor about the location or orientation of the cameras. This structural constraint can be used to reduce the search space when matching a number of feature points in two images, eliminating the...
A computer-based statistical pattern recognition program from digitized spectral waveform envelopes of amniotic fluid displacement during fetal 'respiration'' was developed to extract discriminant features of respiratory maturation. The accuracy of the model reached 98% in estimating maturity in 37 healthy controls. A subset of high-risk subjects was classified with 100% accuracy in relation to maturity...
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