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KTH Royal Institute of Technology
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Contrastive learning can significantly enhance speech quality assessment models without the computational burden of multi-stage training.
Overlooking high-frequency information in multi-rate speech can significantly hinder speech quality assessment, but SA-SSL-MOS shows how to leverage it for improved generalization.
