Optimized Loudspeaker Panning for Adaptive Sound-Field Correction and Non-stationary Listening Areas

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1. Verfasser: Luo, Yuancheng
Format: Preprint
Veröffentlicht: 2025
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author Luo, Yuancheng
author_facet Luo, Yuancheng
contents Surround sound systems commonly distribute loudspeakers along standardized layouts for multichannel audio reproduction. However in less controlled environments, practical layouts vary in loudspeaker quantity, placement, and listening locations / areas. Deviations from standard layouts introduce sound-field errors that degrade acoustic timbre, imaging, and clarity of audio content reproduction. This work introduces both Bayesian loudspeaker normalization and content panning optimization methods for sound-field correction. Conjugate prior distributions over loudspeaker-listener directions update estimated layouts for non-stationary listening locations; digital filters adapt loudspeaker acoustic responses to a common reference target at the estimated listening area without acoustic measurements. Frequency-domain panning coefficients are then optimized via sensitivity / efficiency objectives subject to spatial, electrical, and acoustic domain constraints; normalized and panned loudspeakers form virtual loudspeakers in standardized layouts for accurate multichannel reproduction. Experiments investigate robustness of Bayesian adaptation, and panning optimizations in practical applications.
format Preprint
id arxiv_https___arxiv_org_abs_2510_23937
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Optimized Loudspeaker Panning for Adaptive Sound-Field Correction and Non-stationary Listening Areas
Luo, Yuancheng
Sound
Audio and Speech Processing
Signal Processing
Optimization and Control
Surround sound systems commonly distribute loudspeakers along standardized layouts for multichannel audio reproduction. However in less controlled environments, practical layouts vary in loudspeaker quantity, placement, and listening locations / areas. Deviations from standard layouts introduce sound-field errors that degrade acoustic timbre, imaging, and clarity of audio content reproduction. This work introduces both Bayesian loudspeaker normalization and content panning optimization methods for sound-field correction. Conjugate prior distributions over loudspeaker-listener directions update estimated layouts for non-stationary listening locations; digital filters adapt loudspeaker acoustic responses to a common reference target at the estimated listening area without acoustic measurements. Frequency-domain panning coefficients are then optimized via sensitivity / efficiency objectives subject to spatial, electrical, and acoustic domain constraints; normalized and panned loudspeakers form virtual loudspeakers in standardized layouts for accurate multichannel reproduction. Experiments investigate robustness of Bayesian adaptation, and panning optimizations in practical applications.
title Optimized Loudspeaker Panning for Adaptive Sound-Field Correction and Non-stationary Listening Areas
topic Sound
Audio and Speech Processing
Signal Processing
Optimization and Control
url https://arxiv.org/abs/2510.23937