By the same authors

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Modal Decompositions of Impulse Responses for Parametric Interaction

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Modal Decompositions of Impulse Responses for Parametric Interaction. / Wells, Jez.

In: Journal of the Audio Engineering Society, Vol. 69, No. 7/8, 02.07.2021, p. 530-541.

Research output: Contribution to journalArticlepeer-review

Harvard

Wells, J 2021, 'Modal Decompositions of Impulse Responses for Parametric Interaction', Journal of the Audio Engineering Society, vol. 69, no. 7/8, pp. 530-541. <http://www.aes.org/e-lib/browse.cfm?elib=21120>

APA

Wells, J. (2021). Modal Decompositions of Impulse Responses for Parametric Interaction. Journal of the Audio Engineering Society, 69(7/8), 530-541. http://www.aes.org/e-lib/browse.cfm?elib=21120

Vancouver

Wells J. Modal Decompositions of Impulse Responses for Parametric Interaction. Journal of the Audio Engineering Society. 2021 Jul 2;69(7/8):530-541.

Author

Wells, Jez. / Modal Decompositions of Impulse Responses for Parametric Interaction. In: Journal of the Audio Engineering Society. 2021 ; Vol. 69, No. 7/8. pp. 530-541.

Bibtex - Download

@article{e92300016e054a8fb0a926e0bd72da96,
title = "Modal Decompositions of Impulse Responses for Parametric Interaction",
abstract = "A modelling system for the impulse responses (IRs) of reverberators is presented. The overarching purpose of this system is to offer similar levels of control over captured IRs to that of algorithmic reverberators whilst retaining their acoustic plausibility and, where desired, realism. Specifically, an approach to estimating the parameters of the model is presented which offers a significant reduction in the computational requirements of the matrix decomposition method ESPRIT, whilst offering vastly improved quality than is possible by using a single Fourier analysis. These methods are compared, first on large sets of short-duration synthetic signals, and then on a wide range of typical IRs, some many seconds in duration. Finally, systems that employ the model described and the analysis method it uses, are discussed.",
author = "Jez Wells",
note = "{\textcopyright} 2021 Audio Engineering Society. This is an author-produced version of the published paper. Uploaded in accordance with the publisher{\textquoteright}s self-archiving policy. Further copying may not be permitted; contact the publisher for details.",
year = "2021",
month = jul,
day = "2",
language = "English",
volume = "69",
pages = "530--541",
journal = "Journal of the Audio Engineering Society",
issn = "0004-7554",
number = "7/8",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Modal Decompositions of Impulse Responses for Parametric Interaction

AU - Wells, Jez

N1 - © 2021 Audio Engineering Society. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details.

PY - 2021/7/2

Y1 - 2021/7/2

N2 - A modelling system for the impulse responses (IRs) of reverberators is presented. The overarching purpose of this system is to offer similar levels of control over captured IRs to that of algorithmic reverberators whilst retaining their acoustic plausibility and, where desired, realism. Specifically, an approach to estimating the parameters of the model is presented which offers a significant reduction in the computational requirements of the matrix decomposition method ESPRIT, whilst offering vastly improved quality than is possible by using a single Fourier analysis. These methods are compared, first on large sets of short-duration synthetic signals, and then on a wide range of typical IRs, some many seconds in duration. Finally, systems that employ the model described and the analysis method it uses, are discussed.

AB - A modelling system for the impulse responses (IRs) of reverberators is presented. The overarching purpose of this system is to offer similar levels of control over captured IRs to that of algorithmic reverberators whilst retaining their acoustic plausibility and, where desired, realism. Specifically, an approach to estimating the parameters of the model is presented which offers a significant reduction in the computational requirements of the matrix decomposition method ESPRIT, whilst offering vastly improved quality than is possible by using a single Fourier analysis. These methods are compared, first on large sets of short-duration synthetic signals, and then on a wide range of typical IRs, some many seconds in duration. Finally, systems that employ the model described and the analysis method it uses, are discussed.

M3 - Article

VL - 69

SP - 530

EP - 541

JO - Journal of the Audio Engineering Society

JF - Journal of the Audio Engineering Society

SN - 0004-7554

IS - 7/8

ER -