DocumentCode
479794
Title
Audio Denoising Algorithm Based on Adaptive Wavelet Soft-Threshold of Gain Factor and Teager Energy Operator
Author
Li, Nanshan ; Zhou, Mingquan
Volume
1
fYear
2008
fDate
12-14 Dec. 2008
Firstpage
787
Lastpage
790
Abstract
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.
Keywords
audio signal processing; content-based retrieval; filtering theory; music; signal denoising; white noise; Gaussian white noise; adaptive wavelet soft-threshold; audio denoising; content-based songs retrieval; gain factor; linear filter system; pink noise; teager energy operator; Additive noise; Band pass filters; Content based retrieval; Frequency; Gain; Information retrieval; Noise reduction; Nonlinear filters; Wavelet domain; Wiener filter; Adaptive wavelet soft threshold denoising; Gain factor; Teager energy operator; Wavelet multi-resolution analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-0-7695-3336-0
Type
conf
DOI
10.1109/CSSE.2008.1523
Filename
4721867
Link To Document