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In this paper, a novel approach is proposed specially for capturing the instantaneous pitch that may reveals some innate character of the speech. Firstly, the original signal is decomposed into several modes with empirical wavelet transform, and then the mode containing the pitch is picked out, finally the instantaneous pitch is calculated via Hilbert(More)
Acoustic monitoring and diagnosis of Obstructive Sleep Apnea (OSA) has attracted increasing attentions recently due to its advantages over traditional Polysomnography (PSG) based diagnosis. The performances of several existing approaches are often limited by several aspects such as large amount of training data and and high computational cost. In this(More)
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