Abstract
In this paper, new Wiener filtering based binaural sub-band schemes are proposed for adaptive speech-enhancement. The proposed architectures combine a Multi-Microphone Sub-band Adaptive (MMSBA) system with Wiener filtering in order to further reduce the in-coherent noise components resulting from application of conventional MMSBA noise cancellers. A human cochlear model resulting in a non-linear distribution of the sub-band filters is also employed in the developed schemes. Preliminary comparative results achieved in simulation experiments using anechoic speech corrupted with real automobile noise show that the proposed structures are capable of significantly outperforming the conventional MMSBA scheme without Wiener filtering.
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© 2006 Springer-Verlag Berlin Heidelberg
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Hussain, A., Squartini, S., Piazza, F. (2006). Novel Sub-band Adaptive Systems Incorporating Wiener Filtering for Binaural Speech Enhancement. In: Faundez-Zanuy, M., Janer, L., Esposito, A., Satue-Villar, A., Roure, J., Espinosa-Duro, V. (eds) Nonlinear Analyses and Algorithms for Speech Processing. NOLISP 2005. Lecture Notes in Computer Science(), vol 3817. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11613107_28
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DOI: https://doi.org/10.1007/11613107_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-31257-4
Online ISBN: 978-3-540-32586-4
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