Apple researchers applied an iterative pseudo-labeling training approach to Mandarin-English code-switching ASR (automatic speech recognition) for the first time. The method uses three phases: pseudo-label generation from unlabeled data, two-stage bilingual model training, and iterative improvements to enhance performance on speech that mixes both languages within a single utterance.
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