Modal Decompositions of Impulse Responses for Parametric Interaction
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JE. J.. Wells, "Modal Decompositions of Impulse Responses for Parametric Interaction," J. Audio Eng. Soc., vol. 69, no. 7/8, pp. 530-541, (2021 July.). doi: https://doi.org/10.17743/jaes.2021.0027
JE. J.. Wells, "Modal Decompositions of Impulse Responses for Parametric Interaction," J. Audio Eng. Soc., vol. 69 Issue 7/8 pp. 530-541, (2021 July.). doi: https://doi.org/10.17743/jaes.2021.0027
Abstract: A modeling 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 while retaining their acoustic plausibility and, where desired, realism. Specifically an approach to estimating the parameters of the model is presented that offers a significant reduction in the computational requirements of the matrix decomposition method ESPRIT, while 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.
@article{wells2021modal,
author={wells, jeremy j.},
journal={journal of the audio engineering society},
title={modal decompositions of impulse responses for parametric interaction},
year={2021},
volume={69},
number={7/8},
pages={530-541},
doi={https://doi.org/10.17743/jaes.2021.0027},
month={july},}
@article{wells2021modal,
author={wells, jeremy j.},
journal={journal of the audio engineering society},
title={modal decompositions of impulse responses for parametric interaction},
year={2021},
volume={69},
number={7/8},
pages={530-541},
doi={https://doi.org/10.17743/jaes.2021.0027},
month={july},
abstract={a modeling 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 while retaining their acoustic plausibility and, where desired, realism. specifically an approach to estimating the parameters of the model is presented that offers a significant reduction in the computational requirements of the matrix decomposition method esprit, while 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.},}
TY - paper
TI - Modal Decompositions of Impulse Responses for Parametric Interaction
SP - 530
EP - 541
AU - Wells, Jeremy J.
PY - 2021
JO - Journal of the Audio Engineering Society
IS - 7/8
VO - 69
VL - 69
Y1 - July 2021
TY - paper
TI - Modal Decompositions of Impulse Responses for Parametric Interaction
SP - 530
EP - 541
AU - Wells, Jeremy J.
PY - 2021
JO - Journal of the Audio Engineering Society
IS - 7/8
VO - 69
VL - 69
Y1 - July 2021
AB - A modeling 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 while retaining their acoustic plausibility and, where desired, realism. Specifically an approach to estimating the parameters of the model is presented that offers a significant reduction in the computational requirements of the matrix decomposition method ESPRIT, while 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.
A modeling 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 while retaining their acoustic plausibility and, where desired, realism. Specifically an approach to estimating the parameters of the model is presented that offers a significant reduction in the computational requirements of the matrix decomposition method ESPRIT, while 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.