Perceptual Evaluation of Interior Panning Algorithms Using Static Auditory Events
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T. Robotham, A. Silzle, A. Nastasa, A. Pawlak, and J. Herre, "Perceptual Evaluation of Interior Panning Algorithms Using Static Auditory Events," Paper 10513, (2021 October.). doi:
T. Robotham, A. Silzle, A. Nastasa, A. Pawlak, and J. Herre, "Perceptual Evaluation of Interior Panning Algorithms Using Static Auditory Events," Paper 10513, (2021 October.). doi:
Abstract: Interior panning algorithms enable content authors to position auditory events not only at the periphery of the loudspeaker configuration, but also within the internal space between the listeners and the loudspeakers. In this study such algorithms are rigorously evaluated, comparing rendered static auditory events at various locations against true physical loudspeaker references. Various algorithmic approaches are subjectively assessed in terms of; Overall, Timbral, and Spatial Quality for three different stimuli, at five different positions and three radii. Results show for static positions that standard Vector Base Amplitude Panning performs equal, or better, than all other interior panning algorithms tested here. Timbral Quality is maintained throughout all distances. Ratings for Spatial Quality vary, with some algorithms performing significantly worse at closer distances. Ratings for Overall Quality reduce moderately with respect to reduced reproduction radius and are predominantly influenced by Timbral Quality.
@article{robotham2021perceptual,
author={robotham, thomas and silzle, andreas and nastasa, anamaria and pawlak, alan and herre, jürgen},
journal={journal of the audio engineering society},
title={perceptual evaluation of interior panning algorithms using static auditory events},
year={2021},
volume={},
number={},
pages={},
doi={},
month={october},}
@article{robotham2021perceptual,
author={robotham, thomas and silzle, andreas and nastasa, anamaria and pawlak, alan and herre, jürgen},
journal={journal of the audio engineering society},
title={perceptual evaluation of interior panning algorithms using static auditory events},
year={2021},
volume={},
number={},
pages={},
doi={},
month={october},
abstract={interior panning algorithms enable content authors to position auditory events not only at the periphery of the loudspeaker configuration, but also within the internal space between the listeners and the loudspeakers. in this study such algorithms are rigorously evaluated, comparing rendered static auditory events at various locations against true physical loudspeaker references. various algorithmic approaches are subjectively assessed in terms of; overall, timbral, and spatial quality for three different stimuli, at five different positions and three radii. results show for static positions that standard vector base amplitude panning performs equal, or better, than all other interior panning algorithms tested here. timbral quality is maintained throughout all distances. ratings for spatial quality vary, with some algorithms performing significantly worse at closer distances. ratings for overall quality reduce moderately with respect to reduced reproduction radius and are predominantly influenced by timbral quality.},}
TY - paper
TI - Perceptual Evaluation of Interior Panning Algorithms Using Static Auditory Events
SP -
EP -
AU - Robotham, Thomas
AU - Silzle, Andreas
AU - Nastasa, Anamaria
AU - Pawlak, Alan
AU - Herre, Jürgen
PY - 2021
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2021
TY - paper
TI - Perceptual Evaluation of Interior Panning Algorithms Using Static Auditory Events
SP -
EP -
AU - Robotham, Thomas
AU - Silzle, Andreas
AU - Nastasa, Anamaria
AU - Pawlak, Alan
AU - Herre, Jürgen
PY - 2021
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2021
AB - Interior panning algorithms enable content authors to position auditory events not only at the periphery of the loudspeaker configuration, but also within the internal space between the listeners and the loudspeakers. In this study such algorithms are rigorously evaluated, comparing rendered static auditory events at various locations against true physical loudspeaker references. Various algorithmic approaches are subjectively assessed in terms of; Overall, Timbral, and Spatial Quality for three different stimuli, at five different positions and three radii. Results show for static positions that standard Vector Base Amplitude Panning performs equal, or better, than all other interior panning algorithms tested here. Timbral Quality is maintained throughout all distances. Ratings for Spatial Quality vary, with some algorithms performing significantly worse at closer distances. Ratings for Overall Quality reduce moderately with respect to reduced reproduction radius and are predominantly influenced by Timbral Quality.
Interior panning algorithms enable content authors to position auditory events not only at the periphery of the loudspeaker configuration, but also within the internal space between the listeners and the loudspeakers. In this study such algorithms are rigorously evaluated, comparing rendered static auditory events at various locations against true physical loudspeaker references. Various algorithmic approaches are subjectively assessed in terms of; Overall, Timbral, and Spatial Quality for three different stimuli, at five different positions and three radii. Results show for static positions that standard Vector Base Amplitude Panning performs equal, or better, than all other interior panning algorithms tested here. Timbral Quality is maintained throughout all distances. Ratings for Spatial Quality vary, with some algorithms performing significantly worse at closer distances. Ratings for Overall Quality reduce moderately with respect to reduced reproduction radius and are predominantly influenced by Timbral Quality.
Open Access
Authors:
Robotham, Thomas; Silzle, Andreas; Nastasa, Anamaria; Pawlak, Alan; Herre, Jürgen
Affiliation:
International Audio Laboratories Erlangen, Erlangen, Germany
AES Convention:
151 (October 2021)
Paper Number:
10513
Publication Date:
October 13, 2021Import into BibTeX
Subject:
Evaluation of spatial audio
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=21477