An Improvement Based on Wavelet Transform Speech Denoising Threshold Function

Abstract:

The wavelet threshold denoising method is widely researched and used, the hard threshold and soft threshold which exist different advantages and disadvantages are two kinds commonly used threshold function; the threshold function was improved between hard threshold and soft threshold by using the exponential function. The smooth curve is monotonically increasing, no discontinuity and thus will not produce oscillation. Overcoming shortcomings that the hard threshold function and soft threshold function to be zero in wavelet coefficient is small and soft threshold exist constant deviation, and when the absolute value is greater than the threshold coefficient, soft threshold function is disposed with the same contraction method. After the simulation results prove that compared with traditional speech enhancement algorithms, the new threshold function has been improved to a certain extent.

• Periodical: Advanced Materials Research (Volumes 998-999)
• Pages: 828-832
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.998-999.828
• Online since: July 2014
• Authors: Wen Long Xing, Bo Hu Zhang
• Keywords: Speech Denoising, Threshold Function, Wavelet Threshold

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