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S. Fenton, "Automatic Mixing of Multitrack Material Using Modified Loudness Models," Paper 10041, (2018 October.). doi: S. Fenton, "Automatic Mixing of Multitrack Material Using Modified Loudness Models," Paper 10041, (2018 October.). doi:
Abstract: This work investigates the perceptual accuracy of the ITU-Recommendation BS.1770 loudness algorithm when employed in a basic auto mixing system. Optimal filter parameters previously proposed by the author, which incorporate modifications to both the pre-filter response and the integration window sizes are tested against the standard K-weighted model and filter parameters proposed through other studies. The validation process encompassed two stages, the first being the elicitation of preferred mix parameters used by the mixing system and the subsequent generation of automatic mixes based on these rules utilizing the various filter parameters. A controlled listening test was then employed to evaluate the listener preferences to the completed mixes. It is concluded that the optimized filter parameter set based upon stem type, results in a more perceptually accurate automatic mix being achieved.

@article{fenton2018automatic,
author={fenton, steven},
journal={journal of the audio engineering society},
title={automatic mixing of multitrack material using modified loudness models},
year={2018},
volume={},
number={},
pages={},
doi={},
month={october},} @article{fenton2018automatic,
author={fenton, steven},
journal={journal of the audio engineering society},
title={automatic mixing of multitrack material using modified loudness models},
year={2018},
volume={},
number={},
pages={},
doi={},
month={october},
abstract={this work investigates the perceptual accuracy of the itu-recommendation bs.1770 loudness algorithm when employed in a basic auto mixing system. optimal filter parameters previously proposed by the author, which incorporate modifications to both the pre-filter response and the integration window sizes are tested against the standard k-weighted model and filter parameters proposed through other studies. the validation process encompassed two stages, the first being the elicitation of preferred mix parameters used by the mixing system and the subsequent generation of automatic mixes based on these rules utilizing the various filter parameters. a controlled listening test was then employed to evaluate the listener preferences to the completed mixes. it is concluded that the optimized filter parameter set based upon stem type, results in a more perceptually accurate automatic mix being achieved.},}

TY - paper
TI - Automatic Mixing of Multitrack Material Using Modified Loudness Models
SP - EP -
AU - Fenton, Steven
PY - 2018
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2018 TY - paper
TI - Automatic Mixing of Multitrack Material Using Modified Loudness Models
SP - EP -
AU - Fenton, Steven
PY - 2018
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2018
AB - This work investigates the perceptual accuracy of the ITU-Recommendation BS.1770 loudness algorithm when employed in a basic auto mixing system. Optimal filter parameters previously proposed by the author, which incorporate modifications to both the pre-filter response and the integration window sizes are tested against the standard K-weighted model and filter parameters proposed through other studies. The validation process encompassed two stages, the first being the elicitation of preferred mix parameters used by the mixing system and the subsequent generation of automatic mixes based on these rules utilizing the various filter parameters. A controlled listening test was then employed to evaluate the listener preferences to the completed mixes. It is concluded that the optimized filter parameter set based upon stem type, results in a more perceptually accurate automatic mix being achieved.