ODAQ (Open Dataset of Audio Quality) provides a comprehensive framework for exploring both monaural and binaural audio quality degradations across a range of distortion classes and signals, accompanied by subjective quality ratings. Recent updates of ODAQ provide test signals and subject ratings where artifacts may occur in both stereo channels or a single channel, using established coding methods like Mid/Side (M/S) and Left/Right (L/R). These cases constitute a useful resource for the investigation of timbre and spatial audio quality perception through auditory models included in objective audio quality metrics. In our investigation of various state-of-the-art monaural and binaural perceptual audio quality metrics for predicting the subjective ratings, we find that while timbre-focused metrics often yield robust results -especially under simpler conditions-, presentation context plays a significant role in the prediction performance in other cases. In this context, our findings underscore the importance of modeling the interplay of bottom-up psychoacoustic processes and top-down contextual factors, guiding future research toward models that more effectively integrate both timbral and spatial dimensions of perceived audio quality.
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