Speech enhancement method based on wavelet transform and Kalman filters

被引：0
|
作者：
Zhang, En-Dong [1 ]
Huang, Wen-Hao [1 ]
机构：
[1] Department of Precision Machinery and Instrument, University of Science and Technology of China, Hefei 230026, China
来源：
Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence | 2009年 / 22卷 / 01期
关键词：
Bandpass filters - Gaussian noise (electronic) - Wavelet transforms - White noise - Additive noise - Signal to noise ratio - Speech enhancement;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Using Kalman filter model based on wavelet transform, an efficient speech enhancement algorithm is proposed aiming at the speech signal with additive noise. Dyadic wavelet transform, parameter estimation for Kalman filter model and the divergence of Kalman filter are analyzed in detail. The quality of the resulting enhanced speech is evaluated by means of signal to noise ratio (SNR). Simulation results indicate that the proposed method is valid under white Gaussian noise and colored noise.
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页码：28 / 31
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