Statistical Analysis of ABX Results Using Signal Detection Theory
×
Cite This
Citation & Abstract
J. Boley, and M. Lester, "Statistical Analysis of ABX Results Using Signal Detection Theory," Paper 7826, (2009 October.). doi:
J. Boley, and M. Lester, "Statistical Analysis of ABX Results Using Signal Detection Theory," Paper 7826, (2009 October.). doi:
Abstract: ABX tests have been around for decades and provide a simple, intuitive means to determine if there is an audible difference between two audio signals. Unfortunately, however, the results of proper statistical analyses are rarely published along with the results of the ABX test. The interpretation of the results may critically depend on a proper statistical analysis. In this paper, a very successful analysis method known as signal detection theory is presented in a way that is easy to apply to ABX tests. This method is contrasted with other statistical techniques to demonstrate the benefits of this approach.
@article{boley2009statistical,
author={boley, jon and lester, michael},
journal={journal of the audio engineering society},
title={statistical analysis of abx results using signal detection theory},
year={2009},
volume={},
number={},
pages={},
doi={},
month={october},}
@article{boley2009statistical,
author={boley, jon and lester, michael},
journal={journal of the audio engineering society},
title={statistical analysis of abx results using signal detection theory},
year={2009},
volume={},
number={},
pages={},
doi={},
month={october},
abstract={abx tests have been around for decades and provide a simple, intuitive means to determine if there is an audible difference between two audio signals. unfortunately, however, the results of proper statistical analyses are rarely published along with the results of the abx test. the interpretation of the results may critically depend on a proper statistical analysis. in this paper, a very successful analysis method known as signal detection theory is presented in a way that is easy to apply to abx tests. this method is contrasted with other statistical techniques to demonstrate the benefits of this approach.},}
TY - paper
TI - Statistical Analysis of ABX Results Using Signal Detection Theory
SP -
EP -
AU - Boley, Jon
AU - Lester, Michael
PY - 2009
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2009
TY - paper
TI - Statistical Analysis of ABX Results Using Signal Detection Theory
SP -
EP -
AU - Boley, Jon
AU - Lester, Michael
PY - 2009
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2009
AB - ABX tests have been around for decades and provide a simple, intuitive means to determine if there is an audible difference between two audio signals. Unfortunately, however, the results of proper statistical analyses are rarely published along with the results of the ABX test. The interpretation of the results may critically depend on a proper statistical analysis. In this paper, a very successful analysis method known as signal detection theory is presented in a way that is easy to apply to ABX tests. This method is contrasted with other statistical techniques to demonstrate the benefits of this approach.
ABX tests have been around for decades and provide a simple, intuitive means to determine if there is an audible difference between two audio signals. Unfortunately, however, the results of proper statistical analyses are rarely published along with the results of the ABX test. The interpretation of the results may critically depend on a proper statistical analysis. In this paper, a very successful analysis method known as signal detection theory is presented in a way that is easy to apply to ABX tests. This method is contrasted with other statistical techniques to demonstrate the benefits of this approach.
Authors:
Boley, Jon; Lester, Michael
Affiliations:
LSB Audio, Lafayette, IN, USA; Shure Incorporated, Niles, IL, USA(See document for exact affiliation information.)
AES Convention:
127 (October 2009)
Paper Number:
7826
Publication Date:
October 1, 2009Import into BibTeX
Subject:
Audio Perception
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=15022