吉林大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (3): 917-922.doi: 10.13229/j.cnki.jdxbgxb201603036

• Orginal Article • Previous Articles     Next Articles

Noise power spectrum estimation based on speech presence probability

ZHAO Yan-ping, ZHAO Xiao-hui, WANG Bo   

  1. College of Communication Engineering, Jilin University, Changchun 130012, China
  • Received:2013-07-17 Online:2016-06-20 Published:2016-06-20

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Abstract: Using the magnitude-square spectrum model and the exponential probability densities of the magnitude-square spectrum of the clean speech and noise. The new method updates the noise power spectrum estimation using the posteriori speech presence probability by incorporating a posteriori signal to noise ratio uncertainty. It can suppress effectively the background noise without introducing speech distortion. The simulation results reveal that the new method is characterized by tracking noise power spectrum accurately and following quickly abrupt changes in the noise spectrum. The quality of enhanced speech signal is improved in a certain extent.following quickly abrupt changes in the noise spectrum. The quality of the enhanced speech signal is improved in a certain extent.

Key words: information processing, speech enhancement, noise power spectrum estimation, speech presence probability

CLC Number: 

  • TN912
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