Energy Aware Modeling of Interchannel Level Difference Distortion Impact on Spatial Audio Perception

Delgado P, Herre J, Taghipour A, Schinkel-Bielefeld N. Energy Aware Modeling of Interchannel Level Difference Distortion Impact on Spatial Audio Perception. In: AES Conference: 2018 AES International Conference on Spatial Reproduction - Aesthetics and Science. Audio Engineering Society; 2018. Paper P4-1. Available from: https://aes.org/publications/elibrary-page/?id=19634

@inproceedings{Delgado2018_19634,
  author = {Delgado, Pablo and Herre, Jürgen and Taghipour, Armin and Schinkel-Bielefeld, Nadja},
  title = {{Energy Aware Modeling of Interchannel Level Difference Distortion Impact on Spatial Audio Perception}},
  booktitle = {AES Conference: 2018 AES International Conference on Spatial Reproduction - Aesthetics and Science},
  note = {Paper P4-1},
  year = {2018},
  month = jul,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=19634}
}

TY  - CPAPER
TI  - Energy Aware Modeling of Interchannel Level Difference Distortion Impact on Spatial Audio Perception
AU  - Delgado, Pablo
AU  - Herre, Jürgen
AU  - Taghipour, Armin
AU  - Schinkel-Bielefeld, Nadja
T2  - AES Conference: 2018 AES International Conference on Spatial Reproduction - Aesthetics and Science
M1  - Paper P4-1
PY  - 2018
DA  - 2018/07/06
UR  - https://aes.org/publications/elibrary-page/?id=19634
PB  - Audio Engineering Society
LA  - en
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.
ER  -