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Recently, the minimum mean squared error (MMSE) has been a benchmark of optimization criterion for deep neural network (DNN) based speech enhancement. In this study, a probabilistic learning framework to estimate the DNN parameters for single-channel speech enhancement is proposed. First, the statistical analysis shows that the prediction error vector at the DNN output well follows a unimodal density...
In this paper, we obtain the reverse hypercontractive region for the pair of variables (X, Y) where X is a uniformly distributed binary random variable and Y (a ternary random variable) is obtained by passing X through a symmetric binary erasure channel (BEC), for a non-trivial range of parameters. The technique used builds on two recent results: a) characterization of reverse hypercontractivity using...
We use an equivalent characterization of hypercontractive parameters using relative entropy to compute the hypercontractive region for the binary erasure channel. A similar analysis also recovers the celebrated result for the binary symmetric channel, also called the Bonami-Beckner inequality.
Biomass solid wastes containing lignocelluloses become more than 1 billion tons in China, 2010. If biomass solid wastes can be degraded into fertilizer, it would greatly promoted economic and social improvement. On the basis of experiments, aeration, moisture content, particle size, fermentation temperature and pH were the main factors affecting mixing bacterial fermentation. After understanding the...
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