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S. Temme, P. Brunet, and P. Qarabaqi, "Measurement of Harmonic Distortion Audibility Using a Simplified Psychoacoustic Model - Updated," Paper 1-5, (2013 August.). doi: S. Temme, P. Brunet, and P. Qarabaqi, "Measurement of Harmonic Distortion Audibility Using a Simplified Psychoacoustic Model - Updated," Paper 1-5, (2013 August.). doi:
Abstract: A perceptual method is proposed for measuring harmonic distortion audibility. This method is similar to the CLEAR (Cepstral Loudness Enhanced Algorithm for Rub & buzz) algorithm previously proposed by the authors as a means of detecting audible Rub & Buzz which is an extreme type of distortion[1,2]. Both methods are based on the Perceptual Evaluation of Audio Quality (PEAQ) standard[3]. In the present work, in order to estimate the audibility of regular harmonic distortion, additional psychoacoustic variables are added to the CLEAR algorithm. These variables are then combined using an artificial neural network approach to derive a metric that is indicative of the overall audible harmonic distortion. Experimental results on headphones are presented to justify the accuracy of the model.

@article{temme2013measurement,
author={temme, steve and brunet, pascal and qarabaqi, parastoo},
journal={journal of the audio engineering society},
title={measurement of harmonic distortion audibility using a simplified psychoacoustic model - updated},
year={2013},
volume={},
number={},
pages={},
doi={},
month={august},} @article{temme2013measurement,
author={temme, steve and brunet, pascal and qarabaqi, parastoo},
journal={journal of the audio engineering society},
title={measurement of harmonic distortion audibility using a simplified psychoacoustic model - updated},
year={2013},
volume={},
number={},
pages={},
doi={},
month={august},
abstract={a perceptual method is proposed for measuring harmonic distortion audibility. this method is similar to the clear (cepstral loudness enhanced algorithm for rub & buzz) algorithm previously proposed by the authors as a means of detecting audible rub & buzz which is an extreme type of distortion[1,2]. both methods are based on the perceptual evaluation of audio quality (peaq) standard[3]. in the present work, in order to estimate the audibility of regular harmonic distortion, additional psychoacoustic variables are added to the clear algorithm. these variables are then combined using an artificial neural network approach to derive a metric that is indicative of the overall audible harmonic distortion. experimental results on headphones are presented to justify the accuracy of the model.},}

TY - paper
TI - Measurement of Harmonic Distortion Audibility Using a Simplified Psychoacoustic Model - Updated
SP - EP -
AU - Temme, Steve
AU - Brunet, Pascal
AU - Qarabaqi, Parastoo
PY - 2013
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - August 2013 TY - paper
TI - Measurement of Harmonic Distortion Audibility Using a Simplified Psychoacoustic Model - Updated
SP - EP -
AU - Temme, Steve
AU - Brunet, Pascal
AU - Qarabaqi, Parastoo
PY - 2013
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - August 2013
AB - A perceptual method is proposed for measuring harmonic distortion audibility. This method is similar to the CLEAR (Cepstral Loudness Enhanced Algorithm for Rub & buzz) algorithm previously proposed by the authors as a means of detecting audible Rub & Buzz which is an extreme type of distortion[1,2]. Both methods are based on the Perceptual Evaluation of Audio Quality (PEAQ) standard[3]. In the present work, in order to estimate the audibility of regular harmonic distortion, additional psychoacoustic variables are added to the CLEAR algorithm. These variables are then combined using an artificial neural network approach to derive a metric that is indicative of the overall audible harmonic distortion. Experimental results on headphones are presented to justify the accuracy of the model.