Abstract：In this paper,a single channel speech enhancement method is proposed by constructing a priori binaural cue codebook of speech and noise based on binaural cue coding principle.Firstly,as a priori information,the binaural cues of speech and noise are offline trained to form a priori codebook.Then,the weighted codebook mapping (WCBM) algorithm is used to estimate the clean cue.At last,the noisy speech is enhanced with binaural cue coding (BCC) model.Moreover,an estimation method of the clean cue is proposed for further improving performance based on deep neural network,namely stacked auto-encoders (SAE),instead of WCBM algorithm.Objective test results show that the proposed method is superior to the reference methods.
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2019, Vol. 47 
