RWTH Aachen
University
Institute for Communication
Systems and Data Processing
Skip to content
Direkt zur Navigation
Home
Home

Publications – Details

Robust Dual-Channel Noise Power Spectral Density Estimation

Authors:
Marco Jeub, Christoph Matthias Nelke, Hauke Krüger, Christophe Beaugeant, and Peter Vary
Book Title:
Proceedings of European Signal Processing Conference (EUSIPCO)
Venue:
Barcelona, Spain
Event Date:
29.8.-2.9.2011
Organization:
EURASIP
Date:
Aug. 2011
Pages:
2304–2308
ISSN:
2076-1465
Language:
English

Abstract

In this paper, we propose a novel noise power spectral density (PSD) estimator which is beneficial for speech enhancement systems with two microphones in diffuse noise environments. The algorithm has a low computational complexity and requires low memory usage. The main advantage is that arbitrary models of the noise field coherence can be employed and a scalable extension of existing single-channel speech enhancement systems to dual channels is also possible. Experiments demonstrate with simulated and measured data that the proposed algorithm outperforms related algorithms in diffuse noise conditions.

Download of Publication

Copyright Notice

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

The following notice applies to all IEEE publications:
© IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

File

jeub11c.pdf 284 K