pairwise preference

PrefSQA Introduces Pairwise Preference Prediction for Speech Quality Assessment

A research paper proposes PrefSQA, a pairwise preference prediction method for speech quality assessment that reduces rater variability compared to traditional mean opinion scores. The method incorporates uncertainty-aware logits, an impairment attention head, and non-matching-reference comparisons. Experiments on five datasets show clear improvements over baselines, especially with high-quality preference data.