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Audio Quality Assessment

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

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 11–15 of 15 papers

Title	Date	Tasks	Status	Hype
SAQAM: Spatial Audio Quality Assessment Metric	Jun 24, 2022	Audio Quality AssessmentMulti-Task Learning	—Unverified	0
InSE-NET: A Perceptually Coded Audio Quality Model based on CNN	Aug 30, 2021	Audio Quality AssessmentData Augmentation	—Unverified	0
Exploration of Audio Quality Assessment and Anomaly Localisation Using Attention Models	May 16, 2020	Audio Quality Assessment	—Unverified	0
A novel fuzzy logic-based metric for audio quality assessment: Objective audio quality assessment	Oct 29, 2019	Audio Quality Assessment	—Unverified	0
Non-intrusive speech quality assessment using neural networks	Mar 16, 2019	Audio Quality Assessment	—Unverified	0

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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