A multivariate Gaussian head on a wav2vec2 feature extractor jointly estimates MOS, noisiness, coloration, discontinuity, and loudness, matching point-estimate baselines and adding predicted score correlations.
Subjective SQA is done by let- ting several raters rate the quality of the speech clip based on an ordinal scale such as the mean-opinion-score (MOS) scale [1]
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Multivariate Probabilistic Assessment of Speech Quality
A multivariate Gaussian head on a wav2vec2 feature extractor jointly estimates MOS, noisiness, coloration, discontinuity, and loudness, matching point-estimate baselines and adding predicted score correlations.