Abstract
A blind broadband beamforming method is presented in this paper for speech enhancement in the reverberation environment. The broadband beamforming is carried out using frequency blind source separation to generate the signals needed by the multichannel adaptive noise cancellation, which lies in the formulation of the mean frame skewness approximation. Simulation results demonstrate its effectiveness.
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Wang, D., Yin, F., Sun, F. (2010). A Blind Broadband Beamforming Method for Speech Enhancement. In: Zeng, Z., Wang, J. (eds) Advances in Neural Network Research and Applications. Lecture Notes in Electrical Engineering, vol 67. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12990-2_44
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DOI: https://doi.org/10.1007/978-3-642-12990-2_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12989-6
Online ISBN: 978-3-642-12990-2
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