Audio Quality Assessment
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Benchmarks
Most implemented
ODAQ: Open Dataset of Audio Quality
ODAQ: Open Dataset of Audio Quality - Benchmark on GitHub
PAM: Prompting Audio-Language Models for Audio Quality Assessment
HAAQI-Net: A Non-intrusive Neural Music Audio Quality Assessment Model for Hearing Aids
Perceiving Music Quality with GANs
Papers
Robust Generative Audio Quality Assessment: Disentangling Quality from Spurious Correlations
The rapid proliferation of AI-Generated Content (AIGC) has necessitated robust metrics for perceptual quality assessment. However, automatic Mean Opinion Score (MOS) prediction models are often compromised by data scarci…
Audio Quality AssessmentImproving Perceptual Audio Aesthetic Assessment via Triplet Loss and Self-Supervised Embeddings
We present a system for automatic multi-axis perceptual quality prediction of generative audio, developed for Track 2 of the AudioMOS Challenge 2025. The task is to predict four Audio Aesthetic Scores--Production Quality…
Audio Quality AssessmentMMMOS: Multi-domain Multi-axis Audio Quality Assessment
Accurate audio quality estimation is essential for developing and evaluating audio generation, retrieval, and enhancement systems. Existing non-intrusive assessment models predict a single Mean Opinion Score (MOS) for sp…
Audio Quality AssessmentAudio GenerationTowards Improved Objective Perceptual Audio Quality Assessment -- Part 1: A Novel Data-Driven Cognitive Model
Efficient audio quality assessment is vital for streamlining audio codec development. Objective assessment tools have been developed over time to algorithmically predict quality ratings from subjective assessments, the g…
Audio Quality AssessmentPredictionRF-GML: Reference-Free Generative Machine Listener
This paper introduces a novel reference-free (RF) audio quality metric called the RF-Generative Machine Listener (RF-GML), designed to evaluate coded mono, stereo, and binaural audio at a 48 kHz sample rate. RF-GML lever…
Audio Quality AssessmentTransfer LearningODAQ: Open Dataset of Audio Quality - Benchmark on GitHub
ODAQ is a dataset addressing the scarcity of openly available collections of audio signals accompanied by corresponding subjective scores of perceived quality. ODAQ contains 240 audio samples accompanied by correspond…
Audio Quality AssessmentBenchmarking