DocumentCode :
1908967
Title :
An Improved MMSE-LSA Speech Enhancement Algorithm Based on Human Auditory Masking Property
Author :
Yong Zhang ; Yi Liu
Author_Institution :
ShenZhen Key Lab. of Intell. Media & Speech, PKU-HKUST ShenZhen-HongKong Instn., Shenzhen, China
fYear :
2013
fDate :
17-19 Aug. 2013
Firstpage :
151
Lastpage :
154
Abstract :
An improved speech enhancement algorithm based on minimum mean square error of log-spectral amplitude estimator and masking property of human auditory system is proposed in this paper. The short-time spectral amplitude is estimated based on the minimum mean square error of log-spectral amplitude estimator. Residual musical noise can be masked by exploiting the masking properties of the human auditory system and a psycho acoustically motivated weighting filter is designed. The performance of our proposed algorithm is tested under various types of noise and at different SNR levels, and the results show that our proposed algorithm gives a superior performance as compared to the conventional algorithm and the residual musical noise is effectively masked.
Keywords :
acoustic signal processing; filtering theory; least mean squares methods; spectral analysis; speech enhancement; MMSE-LSA speech enhancement algorithm; human auditory masking property; human auditory system; log-spectral amplitude estimator; minimum mean square error; psycho acoustically motivated weighting filter; residual musical noise; short-time spectral amplitude estimation; Filtering algorithms; Masking threshold; Noise; Noise measurement; Speech; Speech enhancement; perceptual weighting filter; speech enhancement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Asian Language Processing (IALP), 2013 International Conference on
Conference_Location :
Urumqi
Type :
conf
DOI :
10.1109/IALP.2013.49
Filename :
6646025
Link To Document :
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