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Supervised by Ministry of Industry and Information Technology of The People's Republic of China Sponsored by Harbin Institute of Technology Editor-in-chief Yu Zhou ISSNISSN 1005-9113 CNCN 23-1378/T

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Related citation:Xin-Yu Zhang,Xue-Yao Li,Ru-Bo Zhang.Speech Suppression with EEMD-WP[J].Journal of Harbin Institute Of Technology(New Series),2013,20(1):123-128.DOI:10.11916/j.issn.1005-9113.2013.01.023.
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Speech Suppression with EEMD-WP
Author NameAffiliation
Xin-Yu Zhang College of Computer Science and Technology, Harbin Engineering University, Harbin 150001,China 
Xue-Yao Li College of Computer Science and Technology, Harbin Engineering University, Harbin 150001,China 
Ru-Bo Zhang College of Computer Science and Technology, Harbin Engineering University, Harbin 150001,China 
Abstract:
In non-cooperation communication, speech suppression is an important link of aircraft type recognition based on shortwave speech communication. Ensemble mean and ensemble variance for analyzing physical characteristics of aircraft cockpit background sound has been proposed in this paper. Some important peak feature is revealed from the ensemble mean and ensemble variance, which has important guiding significance to further researches on speech suppression of aircraft type recognition based on shortwave speech communication. The two algorithms of speech suppression are proposed which are empirical mode decomposition and wavelet transform(EMD-WT) and the algorithm of ensemble empirical mode decomposition and wavelet packet (EEMD-WP). In the process of speech suppression, EMD-WT produced extra noise pollution, and EEMD-WP kept the aircraft cockpit background sound and weakened the effect of the speech largely. The contrast test proves that EEMD-WP has better performance by in time domain and in frequency domain.
Key words:  speech suppression  ensemble mean  wavelet packet  shortwave communication
DOI：10.11916/j.issn.1005-9113.2013.01.023
Clc Number:TN912.3
Fund:

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