AI RESEARCH

Quantifying Cross-Lingual Transfer in Paralinguistic Speech Tasks

arXiv CS.CL

ArXi:2603.08231v1 Announce Type: cross Paralinguistic speech tasks are often considered relatively language-agnostic, as they rely on extralinguistic acoustic cues rather than lexical content. However, prior studies report performance degradation under cross-lingual conditions, indicating non-negligible language dependence. Still, these studies typically focus on isolated language pairs or task-specific settings, limiting comparability and preventing a systematic assessment of task-level language dependence.