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A Scalable Algorithm for Physically Motivated and Sparse Approximation of Room Impulse Responses with Orthonormal Basis Functions

Vairetti, G, De Sena, Enzo, Catrysse, M, Jensen, SH, Moonen, M and van Waterschoot, T (2017) A Scalable Algorithm for Physically Motivated and Sparse Approximation of Room Impulse Responses with Orthonormal Basis Functions IEEE/ACM Trans. Audio, Speech and Language Processing, 25 (7). pp. 1547-1561.

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Parametric modeling of room acoustics aims at representing room transfer functions (RTFs) by means of digital filters and finds application in many acoustic signal enhancement algorithms. In previous work by other authors, the use of orthonormal basis functions (OBFs) for modeling room acoustics has been proposed. Some advantages of OBF models over all-zero and pole-zero models have been illustrated, mainly focusing on the fact that OBF models typically require less model parameters to provide the same model accuracy. In this paper, it is shown that the orthogonality of the OBF model brings several additional advantages, which can be exploited if a suitable algorithm for identifying the OBF model parameters is applied. Specifically, the orthogonality of OBF models does not only lead to improved model efficiency (as pointed out in previous work), but also leads to improved model scalability and model stability. Its appealing scalability property derives from a previously unexplored interpretation of the OBF model as an approximation to a solution of the inhomogeneous acoustic wave equation. Following this interpretation, a novel identification algorithm is proposed that takes advantage of the OBF model orthogonality to deliver efficient, scalable and stable OBF model estimates, which is not necessarily the case for nonlinear estimation techniques that are normally applied.

Item Type: Article
Subjects : Music & Media
Divisions : Faculty of Arts and Social Sciences > Department of Music and Media
Authors :
Vairetti, G
De Sena,
Catrysse, M
Jensen, SH
Moonen, M
van Waterschoot, T
Date : 3 May 2017
DOI : 10.1109/TASLP.2017.2700940
Copyright Disclaimer : © 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.
Uncontrolled Keywords : Parametric modeling; Orthonormal basis function models; Room acoustics; Matching pursuit
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 03 May 2017 15:07
Last Modified : 05 Mar 2019 10:14

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