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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Flanagan, J.L., Johnston, J.D., Zahn, R., Elko, G.W.: Computer–steered Microphone Arrays for Sound Transduction in Large Rooms. J. Acoustic. Soc. Amer. 75, 1508–1518 (1985)
Griffiths, L.J., Jim, C.W.: An Alternative Approach to Linearly Constrained Adaptive Beamforming. IEEE Transactions on Antennas and Propagation 30, 27–34 (1982)
Gannot, S., Burshtein, D., Weinstein, E.: Analysis of the Power Spectral Deviation of the General Transfer Function GSC. IEEE Transactions on Signal Processing 52, 1115–1121 (2004)
Zelinski, R.: A Microphone Array with Adaptive Post–filtering for Noise Reduction in Reverberant Rooms. In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 1988), pp. 2578–2581 (1988)
Low, S.Y., Nordholm, S., Togneri, R.: Convolutive Blind Signal Separation with Post- Processing. IEEE Transactions on Speech and Audio Processing 12, 539–548 (2004)
Hyvarinene, A.: Fast and Robust Fixed-point Algorithms for Independent Component Analysis. IEEE Transactions on Neural Networks 10, 626–634 (1999)
Widrow, B.W., et al.: Adaptive Noise Canceling: Principles and Applications. Proceedings of the IEEE 63, 1692–(1975)
Marvin, R.S.: Adaptive Noise Canceling for Speech Signal. IEEE Transactions on Acoustics, Speech and Signal Processing 26, 419–423 (1978)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
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
eBook Packages: Computer ScienceComputer Science (R0)