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- W2351380246 abstract "Gain function of traditional enhancement algorithms is to estimate every signal spectral component,therefore,this intro- duces relatively more speech distortion. To improve the effect of speech enhancement at low signal-to-noise ratio (SNR),this paper pro- posed a method of calculating masking threshold and optimal speech enhancement scheme. Based on auditory perception properties,we took different method for processing noise masked spectrum and noise unmasked spectrum. Then a speech signal estimator is proposed as a weighted sum of the individual estimator in each state,where the weight is related with noise masked probability. Compared with Virag's method and LSA-MMSE estimator,the proposed estimator can suppress the residual noise effectively while keeping smaller speech distor- tion especially at low SNR." @default.
- W2351380246 created "2016-06-24" @default.
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- W2351380246 date "2008-01-01" @default.
- W2351380246 modified "2023-09-25" @default.
- W2351380246 title "An Improved LSA-MMSE Enhancement Approach Based on Auditory Perception" @default.
- W2351380246 hasPublicationYear "2008" @default.
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