A Speech Enhancement Method in Subband

Authors:
Xiaohong Ma;Xiaohua Liu;Jin Liu;Fuliang Yin
Affiliations:
School of Electronic and Information Engineering, Dalian University of Technology, Dalian 116023, China;School of Electronic and Information Engineering, Dalian University of Technology, Dalian 116023, China;School of Electronic and Information Engineering, Dalian University of Technology, Dalian 116023, China;School of Electronic and Information Engineering, Dalian University of Technology, Dalian 116023, China
Venue:
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III
Year:
2007

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Abstract

The speech enhancement method based on blind source separation and post-processing in subband [1] is an effective method in noise and reverberation environments. Performance analysis and computer simulations indicate that its performance is degraded under uncorrelated or mild correlated noise cases, and sometimes it might cause distortion of the enhanced signals. To apply the method in real environment, some improvements have been made on it. These are that adaptive noise cancellers are only used in the subbands with poor separation results and the independent component analysis (ICA) operations in low frequency bands are replaced by the efficient time-frequency masking method. Experimental results show the effectiveness of the proposed method.