A new speech enhancement method for adverse noise environment

Authors:
Xiaohong Ma;Yu Wang;Wenlong Liu;Fuliang Yin
Affiliations:
School of Electronic and Information Engineering, Dalian University of Technology, Dalian, China;School of Electronic and Information Engineering, Dalian University of Technology, Dalian, China;School of Electronic and Information Engineering, Dalian University of Technology, Dalian, China;School of Electronic and Information Engineering, Dalian University of Technology, Dalian, China
Venue:
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
Year:
2005

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Abstract

A new speech enhancement method combined independent component analysis (ICA) with delay-sum beamforming is presented in this paper. The noise signals are separated from the speech signal by using ICA module whose inputs are the microphone array signals after time delay compensation. Then the output of the delay-sum beamforming and the separated noise signals are executed adaptive noise canceling according to the criterion of minimum output energy (MOE). Through this method, relatively 'pure' speech signal can be obtained in directional noise field or uncorrelated noise field. Some simulation results in the presence of different signal-to-noise ratio (SNR) are shown to demonstrate the validity of the proposed method especially in adverse noise environment.