L. Vetter, MI. J.. Terrell, AN. R.. Simpson, and A. McPherson, "Estimation of Overdrive in Music Signals," Paper 8911, (2013 May.). doi:
L. Vetter, MI. J.. Terrell, AN. R.. Simpson, and A. McPherson, "Estimation of Overdrive in Music Signals," Paper 8911, (2013 May.). doi:
Abstract: In this paper we report experimental and modeling results from an investigation of listeners’ ability to estimate overdrive in a signal. The term overdrive is used to characterize the result of systematic, level-dependent nonlinearity typical of audio equipment and processors (e.g., guitar amplifiers). Listeners (N=7) were given the task of estimating the degree of overdrive in music signals that had been processed with a static, saturating nonlinearity to introduce varying degrees of nonlinear distortion. A statistical model is proposed to account for the data, which is based on a measure of time-variance in the summed frequency-response deviation introduced by the nonlinearity. This provides a useful “black-box” metric that describes the perceived amount of overdrive introduced by an audio processing device.
@article{vetter2013estimation,
author={vetter, lasse and terrell, michael j. and simpson, andrew j. r. and mcpherson, andrew},
journal={journal of the audio engineering society},
title={estimation of overdrive in music signals},
year={2013},
volume={},
number={},
pages={},
doi={},
month={may},}
@article{vetter2013estimation,
author={vetter, lasse and terrell, michael j. and simpson, andrew j. r. and mcpherson, andrew},
journal={journal of the audio engineering society},
title={estimation of overdrive in music signals},
year={2013},
volume={},
number={},
pages={},
doi={},
month={may},
abstract={in this paper we report experimental and modeling results from an investigation of listeners’ ability to estimate overdrive in a signal. the term overdrive is used to characterize the result of systematic, level-dependent nonlinearity typical of audio equipment and processors (e.g., guitar amplifiers). listeners (n=7) were given the task of estimating the degree of overdrive in music signals that had been processed with a static, saturating nonlinearity to introduce varying degrees of nonlinear distortion. a statistical model is proposed to account for the data, which is based on a measure of time-variance in the summed frequency-response deviation introduced by the nonlinearity. this provides a useful “black-box” metric that describes the perceived amount of overdrive introduced by an audio processing device.},}
TY - paper
TI - Estimation of Overdrive in Music Signals
SP -
EP -
AU - Vetter, Lasse
AU - Terrell, Michael J.
AU - Simpson, Andrew J. R.
AU - McPherson, Andrew
PY - 2013
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2013
TY - paper
TI - Estimation of Overdrive in Music Signals
SP -
EP -
AU - Vetter, Lasse
AU - Terrell, Michael J.
AU - Simpson, Andrew J. R.
AU - McPherson, Andrew
PY - 2013
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2013
AB - In this paper we report experimental and modeling results from an investigation of listeners’ ability to estimate overdrive in a signal. The term overdrive is used to characterize the result of systematic, level-dependent nonlinearity typical of audio equipment and processors (e.g., guitar amplifiers). Listeners (N=7) were given the task of estimating the degree of overdrive in music signals that had been processed with a static, saturating nonlinearity to introduce varying degrees of nonlinear distortion. A statistical model is proposed to account for the data, which is based on a measure of time-variance in the summed frequency-response deviation introduced by the nonlinearity. This provides a useful “black-box” metric that describes the perceived amount of overdrive introduced by an audio processing device.
In this paper we report experimental and modeling results from an investigation of listeners’ ability to estimate overdrive in a signal. The term overdrive is used to characterize the result of systematic, level-dependent nonlinearity typical of audio equipment and processors (e.g., guitar amplifiers). Listeners (N=7) were given the task of estimating the degree of overdrive in music signals that had been processed with a static, saturating nonlinearity to introduce varying degrees of nonlinear distortion. A statistical model is proposed to account for the data, which is based on a measure of time-variance in the summed frequency-response deviation introduced by the nonlinearity. This provides a useful “black-box” metric that describes the perceived amount of overdrive introduced by an audio processing device.
Authors:
Vetter, Lasse; Terrell, Michael J.; Simpson, Andrew J. R.; McPherson, Andrew
Affiliation:
Queen Mary University of London, London, UK
AES Convention:
134 (May 2013)
Paper Number:
8911
Publication Date:
May 4, 2013Import into BibTeX
Subject:
Measurements and Modeling
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=16811