1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CL2022
Assessing Phrase Break of ESL speech with Pre-trained Language Models
Zhiyi Wang, Shaoguang Mao, Wenshan Wu +1
This work introduces an approach to assessing phrase break in ESL learners' speech with pre-trained language models (PLMs). Different with traditional methods, this proposal conver…
eess.AS2020★ 1 cited
Improving pronunciation assessment via ordinal regression with anchored reference samples
Bin Su, Shaoguang Mao, Frank Soong +3
Sentence level pronunciation assessment is important for Computer Assisted Language Learning (CALL). Traditional speech pronunciation assessment, based on the Goodness of Pronuncia…