A New Speech Enhancement Method for Adverse Noise Environment (original) (raw)
Abstract
A new speech enhancement method combined independent component analysis (ICA) with delay-sum beamforming is presented in this paper. The noise signals are separated from the speech signal by using ICA module whose inputs are the microphone array signals after time delay compensation. Then the output of the delay-sum beamforming and the separated noise signals are executed adaptive noise canceling according to the criterion of minimum output energy (MOE). Through this method, relatively ‘pure’ speech signal can be obtained in directional noise field or uncorrelated noise field. Some simulation results in the presence of different signal-to-noise ratio (SNR) are shown to demonstrate the validity of the proposed method especially in adverse noise environment.
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Authors and Affiliations
- School of Electronic and Information Engineering, Dalian University of Technology, Dalian, 116023, China
Xiaohong Ma, Yu Wang, Wenlong Liu & Fuliang Yin
Authors
- Xiaohong Ma
- Yu Wang
- Wenlong Liu
- Fuliang Yin
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Editors and Affiliations
- Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China
Jun Wang - The Key Laboratory of Optoelectric Technology & Systems, Ministry of Education, China
Xiao-Feng Liao - Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, 610054, Chengdu, P.R. China
Zhang Yi
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© 2005 Springer-Verlag Berlin Heidelberg
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Ma, X., Wang, Y., Liu, W., Yin, F. (2005). A New Speech Enhancement Method for Adverse Noise Environment. In: Wang, J., Liao, XF., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3497. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427445\_96
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- DOI: https://doi.org/10.1007/11427445\_96
- Publisher Name: Springer, Berlin, Heidelberg
- Print ISBN: 978-3-540-25913-8
- Online ISBN: 978-3-540-32067-8
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