Audio Quality Assessment
Computational audio quality assessment aims to predict the quality of audio signals as perceived by expert listeners.
Papers
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Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | NMR | Pearson correlation coefficient (PCC) | 0.89 | — | Unverified |
| 2 | PEAQ-CSM | Pearson correlation coefficient (PCC) | 0.89 | — | Unverified |
| 3 | 2f-model | Pearson correlation coefficient (PCC) | 0.87 | — | Unverified |
| 4 | PEAQ (ODG) | Pearson correlation coefficient (PCC) | 0.87 | — | Unverified |
| 5 | ViSQOLAudioV3 | Pearson correlation coefficient (PCC) | 0.77 | — | Unverified |
| 6 | SMAQ | Pearson correlation coefficient (PCC) | 0.77 | — | Unverified |
| 7 | PESQ | Pearson correlation coefficient (PCC) | 0.74 | — | Unverified |
| 8 | SI-SDR | Pearson correlation coefficient (PCC) | 0.44 | — | Unverified |
| 9 | DNSMOS (OVRL) | Pearson correlation coefficient (PCC) | 0.38 | — | Unverified |