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.
Authors:
Delgado, Pablo; Herre, Jürgen; Taghipour, Armin; Schinkel-Bielefeld, Nadja
Affiliations:
Fraunhofer IIS, Erlangen, Germany; International Audio Laboratories Erlangen, Erlangen, Germany(See document for exact affiliation information.)
AES Conference:
2018 AES International Conference on Spatial Reproduction - Aesthetics and Science (July 2018)
Paper Number:
P4-1
Publication Date:
July 30, 2018
Session Subject:
Perception of Spatial Reproduction; Automated Evaluation of Audio Quality; Psychoacoustics; Inter aural level difference distortions; Energy aware; MUSHRA; Automated quality evaluation
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