Speech Enhancement by Kalman Filtering with a Particle Filter-Based Preprocessor

被引：0

作者：

Lee, Yun-Kyung ^{[1
]}

Jung, Gyeo-Woon ^{[1
]}

Kwon, Oh-Wook ^{[1
]}

机构：

[1] Chungbuk Natl Univ, Cheongju, South Korea

来源：

2013 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE) | 2013年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

To reduce nonstationary noise in real environments, we propose to use a particle filter as a preprocessor of Kalman filtering. From noisy input speech signals, the autoregressive (AR) model parameters are estimated by using a particle filter. Clean speech signal is estimated by a Kalman filter configured with the estimated parameters. Experimental results show that when speech signal is corrupted by babble noise, the proposed algorithm improves the output SNR by 1.5 dB.

引用

页码：340 / 341

页数：2

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