most citedImproving Non-native Word-level Pronunciation Scoring with Phone-level Mixup Data Augmentation and Multi-source Information

5 citations · 5 across the 1 of their papers we have counts for

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eess.AS2022★ 5 cited

Improving Non-native Word-level Pronunciation Scoring with Phone-level Mixup Data Augmentation and Multi-source Information

Kaiqi Fu, Shaojun Gao, Kai Wang +3

Deep learning-based pronunciation scoring models highly rely on the availability of the annotated non-native data, which is costly and has scalability issues. To deal with the data…