Title :
An Improved A Priori MMSE Spectral Subtraction Method for Speech Enhancement
Author :
Cheng, Ning ; Liu, Wen-Ju ; Xu, Bo
Author_Institution :
Chinese Acad. of Sci, Beijing
Abstract :
This paper presents a modification of conventional minimum mean squared error (MMSE) spectral subtraction algorithm by introducing an adaptive averaging factor to accurately estimate the a priori SNR. Performance of the modified a priori SNR is evaluated by comparing with conventional spectral subtraction algorithm. Improved results are obtained in terms of speech quality measures for various types of noise when the time-frequency varying averaging factor, proposed in this paper, is adapted in the conventional subtraction rules.
Keywords :
least mean squares methods; speech enhancement; time-frequency analysis; SNR; a priori MMSE spectral subtraction method; adaptive averaging factor; minimum mean squared error; speech enhancement; time-frequency varying averaging factor; Additive noise; Frequency estimation; Laboratories; Noise level; Noise measurement; Noise reduction; Pattern recognition; Signal to noise ratio; Speech enhancement; Time frequency analysis; MMSE spectral subtraction; a priori SNR; adaptive averaging factor; speech enhancement;
Conference_Titel :
Signal Design and Its Applications in Communications, 2007. IWSDA 2007. 3rd International Workshop on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-1074-3
Electronic_ISBN :
978-1-4244-1074-3
DOI :
10.1109/IWSDA.2007.4408401
