Sparse parametric modeling of the early part of acoustic impulse responses
File(s)
Accepted version
Author(s)
Papayiannis, Constantinos
Evers, Christine
Naylor, Patrick A
Type
Conference Paper
Abstract
Acoustic channels are typically described by their Acoustic Impulse Response (AIR) as a Moving Average (MA) process. Such AIRs are often considered in terms of their early and late parts, describing discrete reflections and the diffuse reverberation tail respectively. We propose an approach for constructing a sparse parametric model for the early part. The model aims at reducing the number of parameters needed to represent it and subsequently reconstruct from the representation the MA coefficients that describe it. It consists of a representation of the reflections arriving at the receiver as delayed copies of an excitation signal. The Time-Of-Arrivals of reflections are not restricted to integer sample instances and a dynamically estimated model for the excitation sound is used. We also present a corresponding parameter estimation method, which is based on regularized-regression and nonlinear optimization. The proposed method also serves as an analysis tool, since estimated parameters can be used for the estimation of room geometry, the mixing time and other channel properties. Experiments involving simulated and measured AIRs are presented, in which the AIR coefficient reconstruction-error energy does not exceed 11.4% of the energy of the original AIR coefficients. The results also indicate dimensionality reduction figures exceeding 90% when compared to a MA process representation.
Date Issued
2017-10-26
Date Acceptance
2017-08-28
Citation
2017 25TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2017, pp.678-682
ISSN
2076-1465
Publisher
IEEE
Start Page
678
End Page
682
Journal / Book Title
2017 25TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO)
Copyright Statement
© 2017 EURASIP. 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.
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000426986000137&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Source
25th European Signal Processing Conference (EUSIPCO)
Subjects
Science & Technology
Technology
Engineering, Electrical & Electronic
Telecommunications
Engineering
Sparse Modeling
Reverberation
Acoustic Environments
Reflection TOA Estimation
TIME
Publication Status
Published
Start Date
2017-08-28
Finish Date
2017-09-02
Coverage Spatial
GREECE
Date Publish Online
2017-10-26