A Multiple Regression Model for Predicting Loudspeaker Preference Using Objective Measurements: Part I - Listening Test Results
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SE. E.. Olive, "A Multiple Regression Model for Predicting Loudspeaker Preference Using Objective Measurements: Part I - Listening Test Results," Paper 6113, (2004 May.). doi:
SE. E.. Olive, "A Multiple Regression Model for Predicting Loudspeaker Preference Using Objective Measurements: Part I - Listening Test Results," Paper 6113, (2004 May.). doi:
Abstract: Part I of this paper presents the objective measurements and listening test results on 13 loudspeakers rated according to preference, spectral balance and distortion. In part II the data provides the framework for the development and verification of a multiple regression model that predicts listeners? preferences based on objective measurements. We review relevant predictive models and test one model currently used by Consumers Union (CU), a consumer product testing organization in the United States. There is no correlation between listeners? loudspeaker preference ratings and CU?s predicted accuracy scores (r = 0.05; p = .81). As the CU model is based largely on the loudspeaker?s 1/3-octave sound power response we conclude that measured sound power, alone, cannot accurately predict its perceived sound quality.
@article{olive2004a,
author={olive, sean e.},
journal={journal of the audio engineering society},
title={a multiple regression model for predicting loudspeaker preference using objective measurements: part i - listening test results},
year={2004},
volume={},
number={},
pages={},
doi={},
month={may},}
@article{olive2004a,
author={olive, sean e.},
journal={journal of the audio engineering society},
title={a multiple regression model for predicting loudspeaker preference using objective measurements: part i - listening test results},
year={2004},
volume={},
number={},
pages={},
doi={},
month={may},
abstract={part i of this paper presents the objective measurements and listening test results on 13 loudspeakers rated according to preference, spectral balance and distortion. in part ii the data provides the framework for the development and verification of a multiple regression model that predicts listeners? preferences based on objective measurements. we review relevant predictive models and test one model currently used by consumers union (cu), a consumer product testing organization in the united states. there is no correlation between listeners? loudspeaker preference ratings and cu?s predicted accuracy scores (r = 0.05; p = .81). as the cu model is based largely on the loudspeaker?s 1/3-octave sound power response we conclude that measured sound power, alone, cannot accurately predict its perceived sound quality.},}
TY - paper
TI - A Multiple Regression Model for Predicting Loudspeaker Preference Using Objective Measurements: Part I - Listening Test Results
SP -
EP -
AU - Olive, Sean E.
PY - 2004
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2004
TY - paper
TI - A Multiple Regression Model for Predicting Loudspeaker Preference Using Objective Measurements: Part I - Listening Test Results
SP -
EP -
AU - Olive, Sean E.
PY - 2004
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2004
AB - Part I of this paper presents the objective measurements and listening test results on 13 loudspeakers rated according to preference, spectral balance and distortion. In part II the data provides the framework for the development and verification of a multiple regression model that predicts listeners? preferences based on objective measurements. We review relevant predictive models and test one model currently used by Consumers Union (CU), a consumer product testing organization in the United States. There is no correlation between listeners? loudspeaker preference ratings and CU?s predicted accuracy scores (r = 0.05; p = .81). As the CU model is based largely on the loudspeaker?s 1/3-octave sound power response we conclude that measured sound power, alone, cannot accurately predict its perceived sound quality.
Part I of this paper presents the objective measurements and listening test results on 13 loudspeakers rated according to preference, spectral balance and distortion. In part II the data provides the framework for the development and verification of a multiple regression model that predicts listeners? preferences based on objective measurements. We review relevant predictive models and test one model currently used by Consumers Union (CU), a consumer product testing organization in the United States. There is no correlation between listeners? loudspeaker preference ratings and CU?s predicted accuracy scores (r = 0.05; p = .81). As the CU model is based largely on the loudspeaker?s 1/3-octave sound power response we conclude that measured sound power, alone, cannot accurately predict its perceived sound quality.
Author:
Olive, Sean E.
Affiliation:
Harman International Industries, Inc., Northridge, CA
AES Convention:
116 (May 2004)
Paper Number:
6113
Publication Date:
May 1, 2004Import into BibTeX
Subject:
Loudspeakers
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=12794