Assessing Phrase Break of ESL speech with Pre-trained Language Models. (arXiv:2210.16029v1 [cs.CL])

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 converts speech to token sequences, and then leverages
the power of PLMs. There are two sub-tasks: overall assessment of phrase break
for a speech clip; fine-grained assessment of every possible phrase break
position. Speech input is first force-aligned with texts, then pre-processed to
a token sequence, including words and associated phrase break information. The
token sequence …

arxiv esl language language models speech