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Optimisation of the target sound fields for the generation of independent listening zones in a reverberant environment

Optimisation of the target sound fields for the generation of independent listening zones in a reverberant environment
Optimisation of the target sound fields for the generation of independent listening zones in a reverberant environment
The Pressure Matching Method (PMM) has been widely used in individual listening zones (ILZ) systems to create multiple independent sound zones in the same environment. This method aims to reproduce a set of target acoustic fields in several control zones, using one or more loudspeaker arrays. These target fields are parameters of the ILZ algorithm that are defined at the design stage. In this work, we compare the effects of several target sound field alternatives on the sound field control system performance and robustness. The proposed target fields prevent the ILZ system from focusing its effort on unessential tasks such as the dereverberation of the acoustic environment. More specifically, we compare target acoustic fields of a single active loudspeaker, of several active and in-phase loudspeakers or of a set of loudspeakers acting as a beamformer steered towards one of the zones to be controlled. Results of simulations and experiments obtained with one compact loudspeaker array in the interior of a real car are presented as well as a study on the robustness to perturbations of the solutions obtained with the various choices of target acoustic fields.
soundfield control, sound zone systems, pressure matching
Gallian, Wilfried
d5111637-9d8b-42b0-b014-f5bc9ef342e6
Fazi, Filippo
e5aefc08-ab45-47c1-ad69-c3f12d07d807
Tripodo, Carlo
c5a00a4b-f0f8-4d9f-9ac7-ad348a8dd609
Strozzi, Nicolo
ddb05b38-176a-4a54-b161-edbc2784fc2a
Costalunga, Alessandro
ec776337-18d9-49e6-8542-467e49f919c0
Gallian, Wilfried
d5111637-9d8b-42b0-b014-f5bc9ef342e6
Fazi, Filippo
e5aefc08-ab45-47c1-ad69-c3f12d07d807
Tripodo, Carlo
c5a00a4b-f0f8-4d9f-9ac7-ad348a8dd609
Strozzi, Nicolo
ddb05b38-176a-4a54-b161-edbc2784fc2a
Costalunga, Alessandro
ec776337-18d9-49e6-8542-467e49f919c0

Gallian, Wilfried, Fazi, Filippo, Tripodo, Carlo, Strozzi, Nicolo and Costalunga, Alessandro (2021) Optimisation of the target sound fields for the generation of independent listening zones in a reverberant environment. I3DA 2021 International Conference<br/>Immersive and 3D Audio: from Architecture to Automotive, Virtual, Bologna, Italy. 08 - 10 Sep 2021. 10 pp .

Record type: Conference or Workshop Item (Paper)

Abstract

The Pressure Matching Method (PMM) has been widely used in individual listening zones (ILZ) systems to create multiple independent sound zones in the same environment. This method aims to reproduce a set of target acoustic fields in several control zones, using one or more loudspeaker arrays. These target fields are parameters of the ILZ algorithm that are defined at the design stage. In this work, we compare the effects of several target sound field alternatives on the sound field control system performance and robustness. The proposed target fields prevent the ILZ system from focusing its effort on unessential tasks such as the dereverberation of the acoustic environment. More specifically, we compare target acoustic fields of a single active loudspeaker, of several active and in-phase loudspeakers or of a set of loudspeakers acting as a beamformer steered towards one of the zones to be controlled. Results of simulations and experiments obtained with one compact loudspeaker array in the interior of a real car are presented as well as a study on the robustness to perturbations of the solutions obtained with the various choices of target acoustic fields.

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More information

Published date: September 2021
Venue - Dates: I3DA 2021 International Conference<br/>Immersive and 3D Audio: from Architecture to Automotive, Virtual, Bologna, Italy, 2021-09-08 - 2021-09-10
Keywords: soundfield control, sound zone systems, pressure matching

Identifiers

Local EPrints ID: 451651
URI: http://eprints.soton.ac.uk/id/eprint/451651
PURE UUID: de76ed52-8909-4c3b-8b09-2d223a645e81

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Date deposited: 18 Oct 2021 16:31
Last modified: 18 Oct 2021 16:31

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Contributors

Author: Filippo Fazi
Author: Carlo Tripodo
Author: Nicolo Strozzi
Author: Alessandro Costalunga

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