Frozen SSL-Transformer embeddings generalize better than fine-tuned SSL or ViViT for cross-corpus MOS prediction, matching specialized SOTA on URGENT 2024 with MSE 0.36.
URGENT Challenge: Universality, Robustness, and Generalizability For Speech Enhancement, in: Interspeech 2024, pp
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Evaluating SSL and ViViT Architectures for Cross-Corpus Audio MOS Prediction via LODO Validation
Frozen SSL-Transformer embeddings generalize better than fine-tuned SSL or ViViT for cross-corpus MOS prediction, matching specialized SOTA on URGENT 2024 with MSE 0.36.