Objective Assessment of Spatial Audio Quality using Directional Loudness Maps
Pablo M. Delgado, J\"urgen Herre

TL;DR
This paper proposes a novel directional loudness mapping technique to objectively assess perceived spatial audio quality degradation, especially effective for complex processed signals, enhancing existing quality prediction algorithms.
Contribution
It introduces a new feature extraction method based on directional loudness maps derived from amplitude panning, improving spatial audio quality assessment.
Findings
The distortion measure correlates well with perceived quality degradation.
The method performs effectively on signals processed by advanced perceptual codecs.
It can be integrated into existing quality assessment tools.
Abstract
This work introduces a feature extracted from stereophonic/binaural audio signals aiming to represent a measure of perceived quality degradation in processed spatial auditory scenes. The feature extraction technique is based on a simplified stereo signal model considering auditory events positioned towards a given direction in the stereo field using amplitude panning (AP) techniques. We decompose the stereo signal into a set of directional signals for given AP values in the Short-Time Fourier Transform domain and calculate their overall loudness to form a directional loudness representation or maps. Then, we compare directional loudness maps of a reference signal and a deteriorated version to derive a distortion measure aiming to describe the associated perceived degradation scores reported in listening tests. The measure is then tested on an extensive listening test database with…
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Taxonomy
MethodsTest · Network On Network
