Audio Denoising Algorithm Based on Adaptive Wavelet Soft-Threshold of Gain Factor and Teager Energy Operator

To improve the effect of the content-based songs retrieval system, this paper proposes a audio denoising algorithm based on adaptive wavelet soft-threshold which on the basis of the gain factor of linear filter system in the wavelet domain and the wavelet coefficients teager energy operator (AWSTD_G...

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Bibliographic Details
Published in2008 International Conference on Computer Science and Software Engineering Vol. 1; pp. 787 - 790
Main Authors Nanshan Li, Mingquan Zhou
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2008
Subjects
Adaptive wavelet soft threshold denoising
Additive noise
Band pass filters
Content based retrieval
Frequency
Gain
Gain factor
Information retrieval
Noise reduction
Nonlinear filters
Teager energy operator
Wavelet domain
Wavelet multi-resolution analysis
Wiener filter
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Summary:To improve the effect of the content-based songs retrieval system, this paper proposes a audio denoising algorithm based on adaptive wavelet soft-threshold which on the basis of the gain factor of linear filter system in the wavelet domain and the wavelet coefficients teager energy operator (AWSTD_GF&TEO). The algorithm integrates the gain factor of linear filter system and nonlinear energy operator with conventional wavelet soft-threshold function. Experiments show that the algorithm has significant outcome in inhibiting Gaussian white noise and pink noise in audio samples and improving the accuracy of songs retrieval system.
ISBN:0769533361
9780769533360
DOI:10.1109/CSSE.2008.1523