Blind deconvolution of reverberated speech signals via regularization
نویسندگان
چکیده
This paper explores blind deconvolution of reverberated speech signals in microphone array applications. Two regularization approaches are proposed based on available a priori knowledge. The regularized least–square approach uses the speech signal characteristics and the lowpass nature of the reverberation channel; and the regularized cross–correlation approach requires more precise knowledge of reverberation which can be obtained through training. The two methods are robust to the presence of noise.
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