Exploring Perceptual Audio Quality Measurement on Stereo Processing Using the Open Dataset of Audio Quality
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arXiv
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| Hauptverfasser: | , , , , |
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| Format: | Preprint |
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2025
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| author | Delgado, Pablo M. Dick, Sascha Thompson, Christoph Wu, Chih-Wei Williams, Phillip A. |
| author_facet | Delgado, Pablo M. Dick, Sascha Thompson, Christoph Wu, Chih-Wei Williams, Phillip A. |
| contents | 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. A recent update of ODAQ, focusing on the impact of stereo processing methods such as Mid/Side (MS) and Left/Right (LR), provides test signals and subjective ratings for the in-depth investigation of state-of-the-art objective audio quality metrics. Our evaluation results suggest that, while timbre-focused metrics often yield robust results under simpler conditions, their prediction performance tends to suffer under the conditions with a more complex presentation 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_10689 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Exploring Perceptual Audio Quality Measurement on Stereo Processing Using the Open Dataset of Audio Quality Delgado, Pablo M. Dick, Sascha Thompson, Christoph Wu, Chih-Wei Williams, Phillip A. Audio and Speech Processing Sound 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. A recent update of ODAQ, focusing on the impact of stereo processing methods such as Mid/Side (MS) and Left/Right (LR), provides test signals and subjective ratings for the in-depth investigation of state-of-the-art objective audio quality metrics. Our evaluation results suggest that, while timbre-focused metrics often yield robust results under simpler conditions, their prediction performance tends to suffer under the conditions with a more complex presentation 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. |
| title | Exploring Perceptual Audio Quality Measurement on Stereo Processing Using the Open Dataset of Audio Quality |
| topic | Audio and Speech Processing Sound |
| url | https://arxiv.org/abs/2512.10689 |