SOTAVerified

Audio Quality Assessment

Computational audio quality assessment aims to predict the quality of audio signals as perceived by expert listeners.

Papers

Showing 1115 of 15 papers

TitleStatusHype
Perceiving Music Quality with GANsCode1
Exploration of Audio Quality Assessment and Anomaly Localisation Using Attention Models0
A novel fuzzy logic-based metric for audio quality assessment: Objective audio quality assessment0
Non-intrusive speech quality assessment using neural networks0
P.862.2 : Wideband extension to Recommendation P.862 for the assessment of wideband telephone networks and speech codecsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1NMRPearson correlation coefficient (PCC)0.89Unverified
2PEAQ-CSMPearson correlation coefficient (PCC)0.89Unverified
32f-modelPearson correlation coefficient (PCC)0.87Unverified
4PEAQ (ODG)Pearson correlation coefficient (PCC)0.87Unverified
5ViSQOLAudioV3Pearson correlation coefficient (PCC)0.77Unverified
6SMAQPearson correlation coefficient (PCC)0.77Unverified
7PESQPearson correlation coefficient (PCC)0.74Unverified
8SI-SDRPearson correlation coefficient (PCC)0.44Unverified
9DNSMOS (OVRL)Pearson correlation coefficient (PCC)0.38Unverified