Adaptive Speech Separation Using Hybrid Approach
نویسنده
چکیده
A hybrid iterative learning algorithm for recurrent neural networks based on higher-order statistics to blind signal separation is presented in this paper. Fourth-order statistics are used as the separation criterion to train an RNN to perform the separation. Some simulation results for both artificially convoluted audio signals and real recordings demonstrate that the proposed approach is promising.
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تاریخ انتشار 2002