Estimation of the perceived level of reverberation using non-intrusive single-channel variance of decay rates
File(s)
Accepted version
Author(s)
Eaton, DJ
javed, HA
Naylor, PA
Type
Conference Paper
Abstract
The increasing processing power of hearing aids and mobile devices
has led to the potential for incorporation of dereverberation algorithms to improve speech quality for the listener. Assessing the effectiveness of deverberation algorithms using subjective listening tests is extremely time consuming and depends on averaging out listener variations over a large number of subjects. Also, most existing instrumental measures are intrusive and require knowledge of the original signal which precludes many practical applications. In this paper we show that the proposed non-intrusive single-channel algorithm is a predictor of the perceived level of reverberation that
correlates well with subjective listening test results, outperforming many existing intrusive and non-intrusive measures. The algorithm requires only a single training step and has a very low computational complexity making it suitable for hearing aids and mobile telephone applications. The source code has been made freely available.
has led to the potential for incorporation of dereverberation algorithms to improve speech quality for the listener. Assessing the effectiveness of deverberation algorithms using subjective listening tests is extremely time consuming and depends on averaging out listener variations over a large number of subjects. Also, most existing instrumental measures are intrusive and require knowledge of the original signal which precludes many practical applications. In this paper we show that the proposed non-intrusive single-channel algorithm is a predictor of the perceived level of reverberation that
correlates well with subjective listening test results, outperforming many existing intrusive and non-intrusive measures. The algorithm requires only a single training step and has a very low computational complexity making it suitable for hearing aids and mobile telephone applications. The source code has been made freely available.
Date Issued
2017-04-13
Date Acceptance
2017-01-23
Citation
2017 Hands-free Speech Communications and Microphone Arrays (HSCMA), 2017
Publisher
IEEE
Journal / Book Title
2017 Hands-free Speech Communications and Microphone Arrays (HSCMA)
Copyright Statement
© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor
Engineering & Physical Science Research Council (EPSRC)
Grant Number
n/a
Source
Joint Workshop on Hands-free Speech Communication and Microphone Arrays
Subjects
Science & Technology
Technology
Engineering, Electrical & Electronic
Telecommunications
Engineering
Reverberation
instrumental measures
perception
single-channel
non-intrusive
room acoustics
Publication Status
Published
Start Date
2017-03-01
Finish Date
2017-03-03
Coverage Spatial
San Francisco, CA, USA