AES E-Library

A. Brandmeyer, D. Darcy, L. Lu, R. Graff, N. Swedlow, and P. Crum, "Use of the Magnitude Estimation Technique in Reference-Free Assessments of Spatial Audio Technology," Paper 10273, (2019 October.). doi: A. Brandmeyer, D. Darcy, L. Lu, R. Graff, N. Swedlow, and P. Crum, "Use of the Magnitude Estimation Technique in Reference-Free Assessments of Spatial Audio Technology," Paper 10273, (2019 October.). doi:
Abstract: Magnitude estimation is a technique developed in psychophysics research in which participants numerically estimate the relative strengths of a sequence of stimuli along a relevant dimension. Traditionally, the method has been used to measure basic perceptual phenomena in different sensory modalities (e.g., "brightness," "loudness"). We present two examples of using magnitude estimation in the domain of audio rendering for different categories of consumer electronics devices. Importantly, magnitude estimation doesn’t require a reference stimulus and can be used to assess general ("audio quality") and domain-specific (e.g., "spaciousness") attributes. Additionally, we show how this data can be used together with objective measurements of the tested systems in a model that can predict performance of systems not included in the original assessment.

@article{brandmeyer2019use,
author={brandmeyer, alex and darcy, dan and lu, lie and graff, richard and swedlow, nathan and crum, poppy},
journal={journal of the audio engineering society},
title={use of the magnitude estimation technique in reference-free assessments of spatial audio technology},
year={2019},
volume={},
number={},
pages={},
doi={},
month={october},} @article{brandmeyer2019use,
author={brandmeyer, alex and darcy, dan and lu, lie and graff, richard and swedlow, nathan and crum, poppy},
journal={journal of the audio engineering society},
title={use of the magnitude estimation technique in reference-free assessments of spatial audio technology},
year={2019},
volume={},
number={},
pages={},
doi={},
month={october},
abstract={magnitude estimation is a technique developed in psychophysics research in which participants numerically estimate the relative strengths of a sequence of stimuli along a relevant dimension. traditionally, the method has been used to measure basic perceptual phenomena in different sensory modalities (e.g., "brightness," "loudness"). we present two examples of using magnitude estimation in the domain of audio rendering for different categories of consumer electronics devices. importantly, magnitude estimation doesn’t require a reference stimulus and can be used to assess general ("audio quality") and domain-specific (e.g., "spaciousness") attributes. additionally, we show how this data can be used together with objective measurements of the tested systems in a model that can predict performance of systems not included in the original assessment.},}

TY - paper
TI - Use of the Magnitude Estimation Technique in Reference-Free Assessments of Spatial Audio Technology
SP - EP -
AU - Brandmeyer, Alex
AU - Darcy, Dan
AU - Lu, Lie
AU - Graff, Richard
AU - Swedlow, Nathan
AU - Crum, Poppy
PY - 2019
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2019 TY - paper
TI - Use of the Magnitude Estimation Technique in Reference-Free Assessments of Spatial Audio Technology
SP - EP -
AU - Brandmeyer, Alex
AU - Darcy, Dan
AU - Lu, Lie
AU - Graff, Richard
AU - Swedlow, Nathan
AU - Crum, Poppy
PY - 2019
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2019
AB - Magnitude estimation is a technique developed in psychophysics research in which participants numerically estimate the relative strengths of a sequence of stimuli along a relevant dimension. Traditionally, the method has been used to measure basic perceptual phenomena in different sensory modalities (e.g., "brightness," "loudness"). We present two examples of using magnitude estimation in the domain of audio rendering for different categories of consumer electronics devices. Importantly, magnitude estimation doesn’t require a reference stimulus and can be used to assess general ("audio quality") and domain-specific (e.g., "spaciousness") attributes. Additionally, we show how this data can be used together with objective measurements of the tested systems in a model that can predict performance of systems not included in the original assessment.