Apple ML proposes direct speech-based code-switching detection in speech models
Apple ML Research · rss · 2026-10-14
Apple ML Research proposes a lightweight method that detects code-switching directly from speech, bypassing the need for accurate multilingual transcriptions.
- Code-switching is common in multilingual speech but underrepresented in pretraining corpora
- Prior approaches transcribe speech first, which depends on transcription quality
- The new method exploits frame-level language information in pretrained speech foundation models to find CS utterances for training data curation
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