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J. Francombe, T. Brookes, R. Mason, and F. Melchior, "Loudness Matching Multichannel Audio Program Material with Listeners and Predictive Models," Paper 9464, (2015 October.). doi: J. Francombe, T. Brookes, R. Mason, and F. Melchior, "Loudness Matching Multichannel Audio Program Material with Listeners and Predictive Models," Paper 9464, (2015 October.). doi:
Abstract: Loudness measurements are often necessary in psychoacoustic research and legally required in broadcasting. However, existing loudness models have not been widely tested with new multichannel audio systems. A trained listening panel used the method of adjustment to balance the loudness of eight reproduction methods: low-quality mono, mono, stereo, 5-channel, 9-channel, 22-channel, ambisonic cuboid, and headphones. Seven program items were used, including music, sport, and a film soundtrack. The results were used to test loudness models including simple energy-based metrics, variants of ITU-R BS.1770, and complex psychoacoustically motivated models. The mean differences between the perceptual results and model predictions were statistically insignificant for all but the simplest model. However, some weaknesses in the model predictions were highlighted.

@article{francombe2015loudness,
author={francombe, jon and brookes, tim and mason, russell and melchior, frank},
journal={journal of the audio engineering society},
title={loudness matching multichannel audio program material with listeners and predictive models},
year={2015},
volume={},
number={},
pages={},
doi={},
month={october},} @article{francombe2015loudness,
author={francombe, jon and brookes, tim and mason, russell and melchior, frank},
journal={journal of the audio engineering society},
title={loudness matching multichannel audio program material with listeners and predictive models},
year={2015},
volume={},
number={},
pages={},
doi={},
month={october},
abstract={loudness measurements are often necessary in psychoacoustic research and legally required in broadcasting. however, existing loudness models have not been widely tested with new multichannel audio systems. a trained listening panel used the method of adjustment to balance the loudness of eight reproduction methods: low-quality mono, mono, stereo, 5-channel, 9-channel, 22-channel, ambisonic cuboid, and headphones. seven program items were used, including music, sport, and a film soundtrack. the results were used to test loudness models including simple energy-based metrics, variants of itu-r bs.1770, and complex psychoacoustically motivated models. the mean differences between the perceptual results and model predictions were statistically insignificant for all but the simplest model. however, some weaknesses in the model predictions were highlighted.},}

TY - paper
TI - Loudness Matching Multichannel Audio Program Material with Listeners and Predictive Models
SP - EP -
AU - Francombe, Jon
AU - Brookes, Tim
AU - Mason, Russell
AU - Melchior, Frank
PY - 2015
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2015 TY - paper
TI - Loudness Matching Multichannel Audio Program Material with Listeners and Predictive Models
SP - EP -
AU - Francombe, Jon
AU - Brookes, Tim
AU - Mason, Russell
AU - Melchior, Frank
PY - 2015
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2015
AB - Loudness measurements are often necessary in psychoacoustic research and legally required in broadcasting. However, existing loudness models have not been widely tested with new multichannel audio systems. A trained listening panel used the method of adjustment to balance the loudness of eight reproduction methods: low-quality mono, mono, stereo, 5-channel, 9-channel, 22-channel, ambisonic cuboid, and headphones. Seven program items were used, including music, sport, and a film soundtrack. The results were used to test loudness models including simple energy-based metrics, variants of ITU-R BS.1770, and complex psychoacoustically motivated models. The mean differences between the perceptual results and model predictions were statistically insignificant for all but the simplest model. However, some weaknesses in the model predictions were highlighted.