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K. Baykaner, C. Hummersone, R. Mason, and S. Bech, "The Prediction of the Acceptability of Auditory Interference Based on Audibility," Paper 3-2, (2013 September.). doi: K. Baykaner, C. Hummersone, R. Mason, and S. Bech, "The Prediction of the Acceptability of Auditory Interference Based on Audibility," Paper 3-2, (2013 September.). doi:
Abstract: In order to evaluate the ability of sound field control methods to generate independent listening zones within domestic and automotive environments, it is useful to be able to predict, without listening tests, the accept- ability of auditory interference scenarios. It was considered likely that a relationship would exist between masking thresholds and acceptability thresholds, thus a listening test was carried out to gather acceptability thresholds to compare with existing masking data collected under identical listening conditions. An analysis of the data revealed that a linear regression model could be used to predict acceptability thresholds, from only masking thresholds, with RMSE = 2.6 dB and R = 0.86. The same linear regression model was used to predict acceptability thresholds but with masking threshold predictions as the input. The results had RMSE = 4.2 dB and R = 0.88.

@article{baykaner2013the,
author={baykaner, khan and hummersone, christopher and mason, russell and bech, søren},
journal={journal of the audio engineering society},
title={the prediction of the acceptability of auditory interference based on audibility},
year={2013},
volume={},
number={},
pages={},
doi={},
month={september},} @article{baykaner2013the,
author={baykaner, khan and hummersone, christopher and mason, russell and bech, søren},
journal={journal of the audio engineering society},
title={the prediction of the acceptability of auditory interference based on audibility},
year={2013},
volume={},
number={},
pages={},
doi={},
month={september},
abstract={in order to evaluate the ability of sound field control methods to generate independent listening zones within domestic and automotive environments, it is useful to be able to predict, without listening tests, the accept- ability of auditory interference scenarios. it was considered likely that a relationship would exist between masking thresholds and acceptability thresholds, thus a listening test was carried out to gather acceptability thresholds to compare with existing masking data collected under identical listening conditions. an analysis of the data revealed that a linear regression model could be used to predict acceptability thresholds, from only masking thresholds, with rmse = 2.6 db and r = 0.86. the same linear regression model was used to predict acceptability thresholds but with masking threshold predictions as the input. the results had rmse = 4.2 db and r = 0.88.},}

TY - paper
TI - The Prediction of the Acceptability of Auditory Interference Based on Audibility
SP - EP -
AU - Baykaner, Khan
AU - Hummersone, Christopher
AU - Mason, Russell
AU - Bech, Søren
PY - 2013
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - September 2013 TY - paper
TI - The Prediction of the Acceptability of Auditory Interference Based on Audibility
SP - EP -
AU - Baykaner, Khan
AU - Hummersone, Christopher
AU - Mason, Russell
AU - Bech, Søren
PY - 2013
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - September 2013
AB - In order to evaluate the ability of sound field control methods to generate independent listening zones within domestic and automotive environments, it is useful to be able to predict, without listening tests, the accept- ability of auditory interference scenarios. It was considered likely that a relationship would exist between masking thresholds and acceptability thresholds, thus a listening test was carried out to gather acceptability thresholds to compare with existing masking data collected under identical listening conditions. An analysis of the data revealed that a linear regression model could be used to predict acceptability thresholds, from only masking thresholds, with RMSE = 2.6 dB and R = 0.86. The same linear regression model was used to predict acceptability thresholds but with masking threshold predictions as the input. The results had RMSE = 4.2 dB and R = 0.88.