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G. Reardon, A. Genovese, G. Zalles, P. Flanagan, and A. Roginska, "Evaluation of Binaural Renderers: Multidimensional Sound Quality Assessment," Paper P2-5, (2018 August.). doi: G. Reardon, A. Genovese, G. Zalles, P. Flanagan, and A. Roginska, "Evaluation of Binaural Renderers: Multidimensional Sound Quality Assessment," Paper P2-5, (2018 August.). doi:
Abstract: A multi-phase subjective experiment evaluating six commercially available binaural audio renderers was carried out. This paper presents the methodology, evaluation criteria, and main ?ndings of the tests that assessed perceived sound quality of the renderers. Subjects appraised a number of speci?c sound quality attributes—timbral balance, clarity, naturalness, spaciousness, and dialogue intelligibility—and ranked, in terms of preference, the renderers for a set of music and movie stimuli presented over headphones. Results indicated that differences between the perceived quality and preference for a renderer are discernible. Binaural renderer performance was also found to be highly content-dependent, with signi?cant interactions between renderers and individual stimuli being found, making it dif?cult to determine an “optimal” renderer for all settings.

@article{reardon2018evaluation,
author={reardon, gregory and genovese, andrea and zalles, gabriel and flanagan, patrick and roginska, agnieszka},
journal={journal of the audio engineering society},
title={evaluation of binaural renderers: multidimensional sound quality assessment},
year={2018},
volume={},
number={},
pages={},
doi={},
month={august},} @article{reardon2018evaluation,
author={reardon, gregory and genovese, andrea and zalles, gabriel and flanagan, patrick and roginska, agnieszka},
journal={journal of the audio engineering society},
title={evaluation of binaural renderers: multidimensional sound quality assessment},
year={2018},
volume={},
number={},
pages={},
doi={},
month={august},
abstract={a multi-phase subjective experiment evaluating six commercially available binaural audio renderers was carried out. this paper presents the methodology, evaluation criteria, and main ?ndings of the tests that assessed perceived sound quality of the renderers. subjects appraised a number of speci?c sound quality attributes—timbral balance, clarity, naturalness, spaciousness, and dialogue intelligibility—and ranked, in terms of preference, the renderers for a set of music and movie stimuli presented over headphones. results indicated that differences between the perceived quality and preference for a renderer are discernible. binaural renderer performance was also found to be highly content-dependent, with signi?cant interactions between renderers and individual stimuli being found, making it dif?cult to determine an “optimal” renderer for all settings.},}

TY - paper
TI - Evaluation of Binaural Renderers: Multidimensional Sound Quality Assessment
SP - EP -
AU - Reardon, Gregory
AU - Genovese, Andrea
AU - Zalles, Gabriel
AU - Flanagan, Patrick
AU - Roginska, Agnieszka
PY - 2018
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - August 2018 TY - paper
TI - Evaluation of Binaural Renderers: Multidimensional Sound Quality Assessment
SP - EP -
AU - Reardon, Gregory
AU - Genovese, Andrea
AU - Zalles, Gabriel
AU - Flanagan, Patrick
AU - Roginska, Agnieszka
PY - 2018
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - August 2018
AB - A multi-phase subjective experiment evaluating six commercially available binaural audio renderers was carried out. This paper presents the methodology, evaluation criteria, and main ?ndings of the tests that assessed perceived sound quality of the renderers. Subjects appraised a number of speci?c sound quality attributes—timbral balance, clarity, naturalness, spaciousness, and dialogue intelligibility—and ranked, in terms of preference, the renderers for a set of music and movie stimuli presented over headphones. Results indicated that differences between the perceived quality and preference for a renderer are discernible. Binaural renderer performance was also found to be highly content-dependent, with signi?cant interactions between renderers and individual stimuli being found, making it dif?cult to determine an “optimal” renderer for all settings.