Improved speech enhancement based on spectral subtraction and auditory masking effect

Taking into account the masking properties of human auditory system and the uncertainty of the speech pres-ence,the novel algorithm modifies the log-spectral amplitude estimation and the speech absence probability(SAP) pa-rameter.Then,the smoothing parameters in noise estimation and prior SNR estima...

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Bibliographic Details
Main Authors: ZHAO Xiao-qun, HUANG Xiao-shan
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2008-01-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/74651992/
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Summary:Taking into account the masking properties of human auditory system and the uncertainty of the speech pres-ence,the novel algorithm modifies the log-spectral amplitude estimation and the speech absence probability(SAP) pa-rameter.Then,the smoothing parameters in noise estimation and prior SNR estimation are adaptively adjusted to modi-fied SAP parameter which reflects the degree of stationary of the measured signal.The change of smoothing parameters allows for automatic adaptation with various noisy environments and obtains the best trade-off.Experimental results demonstrate that the proposed algorithm has better performance of speech articulation without any perceptional musical-ity,compared to another modified spectral subtraction algorithms under the same level of noise reduction,and this supe-riority is more significant at very low SNR.
ISSN:1000-436X