A new speech enhancement method for adverse noise environment
X Ma, Y Wang, W Liu, F Yin - Advances in Neural Networks–ISNN 2005 …, 2005 - Springer
X Ma, Y Wang, W Liu, F Yin
Advances in Neural Networks–ISNN 2005: Second International Symposium on …, 2005•SpringerA 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 …
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 …
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.
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