Room identification using frequency dependence of spectral decay statistics
File(s)
Accepted version
Author(s)
Moore, AH
Naylor, Patrick
Brookes, DM
Type
Conference Paper
Abstract
A method for room identification is proposed based on the reverberation properties of multichannel speech recordings. The approach exploits the dependence of spectral decay statistics on the reverberation time of a room. The average negative-side variance within 1/3-octave bands is proposed as the identifying feature and shown to be effective in a classification experiment. However, negative-side variance is also dependent on the direct-to-reverberant energy ratio. The resulting sensitivity to different spatial configurations of source and microphones within a room are mitigated using a novel reverberation enhancement algorithm. A classification experiment using speech convolved with measured impulse responses and contaminated with environmental noise demonstrates the effectiveness of the proposed method, achieving 79% correct identification in the most demanding condition compared to 40% using unenhanced signals.
Date Issued
2018-09-13
Date Acceptance
2018-02-14
Citation
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018, pp.6902-6906
ISSN
0736-7791
Publisher
Institute of Electrical and Electronics Engineers Inc.
Start Page
6902
End Page
6906
Journal / Book Title
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Replaces
10044/1/57055
Copyright Statement
© 2018 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
EP/M026698/1
Source
IEEE Int. Conf. on Acoustics, Speech and Signal Processing
Subjects
Science & Technology
Technology
Acoustics
Engineering, Electrical & Electronic
Engineering
Room identification
Scene awareness
Reverberation
Classification
Microphone array
REVERBERATION-TIME
BLIND ESTIMATION
Publication Status
Published
Start Date
2018-04-15
Finish Date
2018-04-20
Coverage Spatial
Calgary, Canada
Date Publish Online
2018-09-13