Kryptovaluta-ticker:
technology fra Arxiv cs.ai

Quality Adaptive Angular Margin Learning for Respiratory Sound Classification

Yoon Tae Kim, Heejoon Koo, Miika Toikkanen, June-Woo Kim
Thursday at 04:00
2 Visninger
0 Kommentarer

arXiv:2606.11915v1 Announce Type: cross Abstract: We present a quality-adaptive angular-margin learning framework that improves feature generalization by enforcing intra-class compactness and inter-class separability. Our framework, titled QLung, introduces a no-reference audio quality margin derived from spectral entropy and root-mean-square...

Læs hele artiklen hos kilden.

Var dette nyttigt?
Del:

Kommentarer (0)

Vennligst logg inn for å skrive en kommentar

Ingen kommentarer ennå. Bli den første til å kommentere!