Iterative Pseudo-Labeling Improves Mandarin-English Code-Switching ASR
August 19, 2026
A new three-phase iterative pseudo-labeling approach leverages large unlabeled corpora to improve Automatic Speech Recognition performance for Mandarin-English code-switching tasks.
HOW THIS AFFECTS YOU
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builderThis approach is relevant for building robust speech interfaces for bilingual users.
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researcherThe method demonstrates how semi-supervised learning can mitigate sparse training data in multilingual contexts.