Apple Researchers Detect Code-Switching Directly From Speech Using Foundation Model Dimensions
Apple researchers propose a lightweight method that detects code-switching directly from speech, avoiding reliance on multilingual transcriptions. The approach uses frame-level language information in pretrained speech foundation models to identify utterances where speakers alternate languages, helping find code-switched data in large speech collections for inclusion in training corpora.
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