AINeutralarXiv – CS AI · 6h ago5/10
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PrefSQA: Pairwise Preference Prediction for Speech Quality Assessment and the Critical Role of High Quality Datasets
Researchers introduce PrefSQA, a machine learning method that predicts speech quality through pairwise preference comparisons rather than traditional mean opinion scores (MOS). The approach incorporates uncertainty-aware logits and attention mechanisms, demonstrating that preference-based labeling produces cleaner, more reliable datasets than scalar MOS ratings, though improvements vary significantly based on dataset quality.