Linear prediction based dereverberation for spherical microphone arrays

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Title: Linear prediction based dereverberation for spherical microphone arrays
Author(s): Moore, AH
Naylor, P
Item 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.
Publication Date: 13-Sep-2016
Date of Acceptance: 15-Jul-2016
URI: http://hdl.handle.net/10044/1/41178
Publisher: IEEE
Journal / Book Title: 15th International Workshop on Acoustic Signal Enhancement (IWAENC)
Sponsor/Funder: Commission of the European Communities
Funder's Grant Number: 609465
Conference Name: 15th International Workshop on Acoustic Signal Enhancement (IWAENC)
Copyright Statement: This article is under embargo until publication
Start Date: 2016-09-13
Finish Date: 2016-09-16
Conference Place: Xi'an, China
Embargo Date: publication subject to indefinite embargo
Appears in Collections:Faculty of Engineering
Electrical and Electronic Engineering



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