Speech Signal Denoise Based on LMS Algorithm in Simulink

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Abstract:

The adaptive noise cancellation system by LMS algorithm need not to know the prior knowledge of input speech signal and noise, and can carry out denoise. In this paper, we present a general approach to using Simulink to build adaptive filter which may denoise for noise added speech signal. Simulation results show that this method has the good suppression ability for the noise of collection speech signal.

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Periodical:

Advanced Materials Research (Volumes 225-226)

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453-456

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Online since:

April 2011

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] Quatieri,T. F: Discrete-Time Speech Signal Processing: Principles and Practice, Beijing: Publishing House of Electronic Industry, (2004).

Google Scholar

[2] Udar Mittal, Nam Phamdo: Signal/noise KLT based approach for enhancing speech degraded by colored noise. IEEE Trans Speech Audio Processing, Vol. 8(2000), pp.159-167.

DOI: 10.1109/89.824700

Google Scholar

[3] GuangShu Hu: Digital Signal Processing-Theory, Algorithm and Implementation, Beijing: Tsinghua University Press, (2003).

Google Scholar

[4] YanBi Zou, Ying Gao: Adaptive filter algorithm overview, Journal of Guangzhou University, Vol. 1(2007), pp.44-48.

Google Scholar

[5] Jun Yao, SongHui Ma: Simulink Modeling and Simulation, Xi'an: XIDIAN University Press, (2008).

Google Scholar

[6] Ping Yao, JunTai Shen: Noise cancellation based on adaptive neural network filtering, Computer Engineering and Application, Vol. 28(2005), pp.65-67.

Google Scholar