Weakly supervised training on utterance-level pronunciation labels followed by fine-tuning on a small set of selected phoneme-labeled utterances produces phoneme-level scoring performance comparable to models trained with full phoneme-level supervision.
A study on fine- tuning wav2vec2.0 model for the task of mispronunciation detec- tion and diagnosis
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A study on weakly-supervised training approaches for phoneme-level pronunciation scoring
Weakly supervised training on utterance-level pronunciation labels followed by fine-tuning on a small set of selected phoneme-labeled utterances produces phoneme-level scoring performance comparable to models trained with full phoneme-level supervision.