Mar 1, 2022 · To deal with the data scarcity problem, data augmentation is commonly used for model pretraining. In this paper, we propose a phone-level mixup, ...

This paper proposes a phone-level mixup, a simple yet effective data augmentation method, to improve the performance of word-level pronunciation scoring, ...

In this paper, we propose a phone-level mixup, a simple yet effective data augmentation method, to improve the performance of word-level pronunciation scoring.

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

May 19, 2023 · To deal with the data scarcity problem, data augmentation is commonly used for model pretraining. In this paper, we propose a phone-level mixup, ...

Improving Non-native Word-level Pronunciation Scoring with Phone-level Mixup Data Augmentation and Multi-source Information ... Moreover, we utilize multi-source ...

To deal with the data scarcity problem, data augmentation is commonly used for model pretraining. In this paper, we propose a phone-level mixup, a simple yet ...

Improving non-native word-level pronunciation scoring with phone-level mixup data augmentation and multi-source informa- tion. arXiv preprint arXiv ...

This paper describes an approach for automatic scoring of pronunciation quality for non-native speech. It is applicable regardless of the foreign language ...

Improving Non-native Word-level Pronunciation Scoring with Phone-level Mixup Data Augmentation and Multi-source Information · no code implementations • 1 Mar ...