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

Hussain, Amir; Squartini, Stefano; Piazza, Francesco

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.

• Presentation Conference Type: Conference Paper (Published)
• Conference Name: NOLISP 2005: International Conference on Nonlinear Analyses and Algorithms for Speech Processing
• Start Date: Apr 19, 2005
• End Date: Apr 22, 2005
• Publication Date: 2005
• Deposit Date: Oct 17, 2019
• Pages: 318-327
• Series Title: Lecture Notes in Computer Science
• Series Number: 3817
• Series ISSN: 0302-9743
• Book Title: Nonlinear Analyses and Algorithms for Speech Processing International Conference on Non-Linear Speech Processing, NOLISP 2005, Barcelona, Spain, April 19-22, 2005, Revised Selected Papers
• ISBN: 978-3-540-31257-4
• DOI: https://doi.org/10.1007/11613107_28
• Keywords: Wiener Filter, Speech Enhancement, Noisy Speech, Voice Activity Detector, Noise Cancellation
• Public URL: http://researchrepository.napier.ac.uk/Output/1793689