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MOS-FAD: Improving Fake Audio Detection Via Automatic Mean Opinion Score Prediction
We propose MOS-FAD, where MOS can be leveraged at two key points in FAD: training data selection and model fusion.
LE-SSL-MOS: Self-Supervised Learning MOS Prediction with Listener Enhancement
In this paper, we proposed a novel fusion model for MOS prediction that combines supervised and unsupervised approaches.
Fusion of Self-supervised Learned Models for MOS Prediction
This challenge aims to predict MOS scores of synthetic speech on two tracks, the main track and a more challenging sub-track: out-of-domain (OOD).
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