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P. Delgado, J. Herre, A. Taghipour, and N. Schinkel-Bielefeld, "Energy Aware Modeling of Interchannel Level Difference Distortion Impact on Spatial Audio Perception," Paper P4-1, (2018 July.). doi: P. Delgado, J. Herre, A. Taghipour, and N. Schinkel-Bielefeld, "Energy Aware Modeling of Interchannel Level Difference Distortion Impact on Spatial Audio Perception," Paper P4-1, (2018 July.). doi:
Abstract: In spatial audio processing, Inter-aural Level Difference Distortions (ILDD) between reference and coded signals play an important role in the perception of quality degradation. In order to reduce costs, there are efforts to develop algorithms that automatically predict the perceptual quality of multichannel/spatial audio processing operations relative to the unimpaired original without requiring extensive listening tests. Correct modelling of perceived ILDD has a great in?uence in the prediction performance of automated measurements. We propose an energy aware model of ILDD perception that contemplates a dependency of energy content in different spectral regions of the involved signal. Model parameters are ?tted to subjective results obtained from listening test data over a synthetically generated audio database with arbitrarily induced ILDD at different intensities, frequency regions and energy levels. Finally, we compare the performance of our proposed model over two extensive databases of real coded signals along with two state-of-the-art ILDD models.

@article{delgado2018energy,
author={delgado, pablo and herre, jürgen and taghipour, armin and schinkel-bielefeld, nadja},
journal={journal of the audio engineering society},
title={energy aware modeling of interchannel level difference distortion impact on spatial audio perception},
year={2018},
volume={},
number={},
pages={},
doi={},
month={july},} @article{delgado2018energy,
author={delgado, pablo and herre, jürgen and taghipour, armin and schinkel-bielefeld, nadja},
journal={journal of the audio engineering society},
title={energy aware modeling of interchannel level difference distortion impact on spatial audio perception},
year={2018},
volume={},
number={},
pages={},
doi={},
month={july},
abstract={in spatial audio processing, inter-aural level difference distortions (ildd) between reference and coded signals play an important role in the perception of quality degradation. in order to reduce costs, there are efforts to develop algorithms that automatically predict the perceptual quality of multichannel/spatial audio processing operations relative to the unimpaired original without requiring extensive listening tests. correct modelling of perceived ildd has a great in?uence in the prediction performance of automated measurements. we propose an energy aware model of ildd perception that contemplates a dependency of energy content in different spectral regions of the involved signal. model parameters are ?tted to subjective results obtained from listening test data over a synthetically generated audio database with arbitrarily induced ildd at different intensities, frequency regions and energy levels. finally, we compare the performance of our proposed model over two extensive databases of real coded signals along with two state-of-the-art ildd models.},}

TY - paper
TI - Energy Aware Modeling of Interchannel Level Difference Distortion Impact on Spatial Audio Perception
SP - EP -
AU - Delgado, Pablo
AU - Herre, Jürgen
AU - Taghipour, Armin
AU - Schinkel-Bielefeld, Nadja
PY - 2018
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - July 2018 TY - paper
TI - Energy Aware Modeling of Interchannel Level Difference Distortion Impact on Spatial Audio Perception
SP - EP -
AU - Delgado, Pablo
AU - Herre, Jürgen
AU - Taghipour, Armin
AU - Schinkel-Bielefeld, Nadja
PY - 2018
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - July 2018
AB - In spatial audio processing, Inter-aural Level Difference Distortions (ILDD) between reference and coded signals play an important role in the perception of quality degradation. In order to reduce costs, there are efforts to develop algorithms that automatically predict the perceptual quality of multichannel/spatial audio processing operations relative to the unimpaired original without requiring extensive listening tests. Correct modelling of perceived ILDD has a great in?uence in the prediction performance of automated measurements. We propose an energy aware model of ILDD perception that contemplates a dependency of energy content in different spectral regions of the involved signal. Model parameters are ?tted to subjective results obtained from listening test data over a synthetically generated audio database with arbitrarily induced ILDD at different intensities, frequency regions and energy levels. Finally, we compare the performance of our proposed model over two extensive databases of real coded signals along with two state-of-the-art ILDD models.