How does context influence automatic speaker labeling?

This article explores how generic speaker labels are insufficient in real-world scenarios, requiring specific role assignments for effective analysis. Context, derived from both audio content and metadata, significantly enhances labeling accuracy, transforming anonymous identifiers into role-assigned participants.