DNSMOS-C: Improving End-to-end Speech Quality Models via Contrastive Learning

Xinyu Liang, Fredrik Cumlin, Victor Ungureanu +3

We introduce DNSMOS-C, a compact end-to-end speech quality assessment model that extends the DNSMOS Pro framework by integrating a MOS-guided triplet-based contrastive loss. Applie…