DocumentCode :
2161263
Title :
Elimination of Musical Noise Phenomenon with Burg-Based A Priori SNR Estimator
Author :
Xu, Yaohua ; Guo, Ying ; Li, Wei ; Fan, HaiLing
Volume :
5
fYear :
2008
fDate :
27-30 May 2008
Firstpage :
328
Lastpage :
332
Abstract :
In order to eliminate the musical noise remained in the results enhanced by short-time spectral attenuation techniques, this paper proposes a novel a priori SNR estimator. The proposed estimator is built on Burg-based power spectral estimation, which takes into account the properties in estimator of smoothness, accuracy and resolution, with the emphasis on their relationships and influences on de-noising. The experimental results demonstrate that: if the proposed estimator is incorporated into the noise suppressor using minimum mean-square error (MMSE) method or log-spectral minimum mean-square error (LSA-MMSE) method, better results will be achieved with the musical noise greatly eliminated and distortion reduced further.
Keywords :
Attenuation; Degradation; Noise reduction; Power engineering and energy; Signal processing; Signal to noise ratio; Speech analysis; Speech enhancement; Testing; Working environment noise; a priori SNR estimator; de-noise; music noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing, 2008. CISP '08. Congress on
Conference_Location :
Sanya, China
Print_ISBN :
978-0-7695-3119-9
Type :
conf
DOI :
10.1109/CISP.2008.373
Filename :
4566843
Link To Document :
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