kapynResearch

Code-Switching Detection via Language-Selective Dimensions in Speech Foundation Models

A new study introduces a lightweight method to detect code‑switching directly from speech using frame‑level language cues in pretrained speech foundation models. The approach bypasses the need for accurate multilingual transcriptions, enabling larger CS‑rich datasets for multilingual speech training. It improves CS coverage and could boost performance of multilingual ASR systems.

Apple ML Research·Oct 14, 2026

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