Single Channel Speech Enhancement by De-noising Using Stationary Wavelet Transform

نویسندگان

  • ZHANG De-xiang
  • GAO Qing-wei
  • CHEN Jun-ning
چکیده

A method of single channel speech enhancement is proposed by de-noising using stationary wavelet transform. The approach developed herein processes multi-resolution wavelet coefficients individually and then recovery signal is reconstructed. The time invariant characteristics of stationary wavelet transform is particularly useful in speech de-noising. Experimental results show that the proposed speech enhancement by de-noising algorithm is possible to achieve an excellent balance between suppresses noise effectively and preserves as many target characteristics of original signal as possible. This de-noising algorithm offers a superior performance to speech signal noise suppress.

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تاریخ انتشار 2010