Novel sub-band adaptive systems incorporating wiener filtering for binaural speech enhancement

Authors:
Amir Hussain;Stefano Squartini;Francesco Piazza
Affiliations:
Department of Computing Science & Mathematics, University of Stirling, Stirling, Scotland, UK;Dipartimento di Elettronica, Intelligenza Artificiale e Telecomunicazioni, Università Politecnica delle Marche, Ancona, Italy;Dipartimento di Elettronica, Intelligenza Artificiale e Telecomunicazioni, Università Politecnica delle Marche, Ancona, Italy
Venue:
NOLISP'05 Proceedings of the 3rd international conference on Non-Linear Analyses and Algorithms for Speech Processing
Year:
2005

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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.