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http://dx.doi.org/10.13067/JKIECS.2022.17.3.409

Blind Noise Separation Method of Convolutive Mixed Signals  

Lee, Haeng-Woo (Dept. of Intelligent Information Communication, Namseoul University)
Publication Information
The Journal of the Korea institute of electronic communication sciences / v.17, no.3, 2022 , pp. 409-416 More about this Journal
Abstract
This paper relates to the blind noise separation method of time-delayed convolutive mixed signals. Since the mixed model of acoustic signals in a closed space is multi-channel, a convolutive blind signal separation method is applied and time-delayed data samples of the two microphone input signals is used. For signal separation, the mixing coefficient is calculated using an inverse model rather than directly calculating the separation coefficient, and the coefficient update is performed by repeated calculations based on secondary statistical properties to estimate the speech signal. Many simulations were performed to verify the performance of the proposed blind signal separation. As a result of the simulation, noise separation using this method operates safely regardless of convolutive mixing, and PESQ is improved by 0.3 points compared to the general adaptive FIR filter structure.
Keywords
Blind Signal Separation; Convolutive Mixing; Multi-Channel; Noise Attenuation;
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Times Cited By KSCI : 2  (Citation Analysis)
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