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

Publications – Details

Performance Comparison of Algorithms for Blind Reverberation Time Estimation from Speech

Authors:
Nikolay Gaubitch, Heinrich W. Löllmann, Marco Jeub, Tiago Falk, Patrick A. Naylor, Peter Vary, and Mike Brookes
Book Title:
Proceedings of International Workshop on Acoustic Signal Enhancement (IWAENC)
Venue:
Aachen, Germany
Event Date:
4.-6.9.2012
Publisher:
VDE Verlag
Date:
Sept. 2012
Language:
English

Abstract

The reverberation time, T60 , is one of the key parameters used to quantify room acoustics. It can provide information about the quality and intelligibility of speech recorded in a reverberant environment, and it can be used to increase robustness to reverberation of speech processing algorithms. T60 can be determined directly from a measurement of the acoustic impulse response, but in situations where this is unavailable it must be estimated blindly from reverberant speech. In this contribution, we provide a study of three stateof-the-art methods for blind T60 estimation. Experimental results with a large number of talkers, simulated and measured acoustic impulse responses, and various levels of additive white Gaussian noise are presented. The relative merits of the three methods in terms of computational time, estimation accuracy, noise sensitivity and intertalker variance are discussed. In general, all three methods are able to estimate the reverberation time to within 0.2 s for T60 ≤ 0.8 s and SNR ≥ 30 dB, while increasing the noise level causes overestimation. The relative computational speed of the three methods is also assessed.

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

gaubitch12.pdf 235 K