Linear prediction based dereverberation for spherical microphone arrays
File(s)Moore2016a.pdf (356.76 KB)
Accepted version
Author(s)
Moore, AH
Naylor, P
Type
Conference Paper
Abstract
Dereverberation is an important preprocessing step in many
speech systems, both for human and machine listening. In
many situations, including robot audition, the sound sources
of interest can be incident from any direction. In such circumstances,
a spherical microphone array allows direction of arrival
estimation which is free of spatial aliasing and directionindependent
beam patterns can be formed. This contribution
formulates the Weighted Prediction Error algorithm in the
spherical harmonic domain and compares the performance to
a space domain implementation. Simulation results demonstrate
that performing dereverberation in the spherical harmonic
domain allows many more microphones to be used
without increasing the computational cost. The benefit of
using many microphones is particularly apparent at low signal
to noise ratios, where for the conditions tested up to 71%
improvement in speech-to-reverberation modulation ratio was
achieved.
speech systems, both for human and machine listening. In
many situations, including robot audition, the sound sources
of interest can be incident from any direction. In such circumstances,
a spherical microphone array allows direction of arrival
estimation which is free of spatial aliasing and directionindependent
beam patterns can be formed. This contribution
formulates the Weighted Prediction Error algorithm in the
spherical harmonic domain and compares the performance to
a space domain implementation. Simulation results demonstrate
that performing dereverberation in the spherical harmonic
domain allows many more microphones to be used
without increasing the computational cost. The benefit of
using many microphones is particularly apparent at low signal
to noise ratios, where for the conditions tested up to 71%
improvement in speech-to-reverberation modulation ratio was
achieved.
Date Issued
2016-09-13
Date Acceptance
2016-07-15
Citation
2016 IEEE International Workshop on Acoustic Signal Enhancement (IWAENC), 2016
Publisher
IEEE
Journal / Book Title
2016 IEEE International Workshop on Acoustic Signal Enhancement (IWAENC)
Copyright Statement
© 2016 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
Commission of the European Communities
Grant Number
609465
Source
15th International Workshop on Acoustic Signal Enhancement (IWAENC)
Subjects
Science & Technology
Technology
Engineering, Electrical & Electronic
Engineering
speech dereverberation
spherical microphone array
spherical harmonic domain
multichannel linear prediction
weighted prediction error
Publication Status
Published
Start Date
2016-09-13
Finish Date
2016-09-16
Coverage Spatial
Xi'an, China