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In this paper, a relevant document retrieval method is proposed for document retrieval systems with vector space models (VSM). In recent years, with the size of the database becomes extremely large, there becomes a high demanding of an accurate and fast-time document retrieval algorithm. Based on the maximum similarity criterion, a document retrieval algorithm using the discrete stochastic optimization...
In this paper, we proposed a novel method for speech separation under one-microphone input. The method employs the deep belief networks to build the speech magnitude estimator, which provides a soft mask for extracting the desired speech from the input signal mixed with interference signals. The new approach has been evaluated on mixture speech data and the results demonstrated its efficiency.
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