Pronunciation Analysis of L2 Speech

Objective analysis of L2 speech pronunciation

My research interests also extend to L2 speech pronunciation assessments, aiming to deliver objective and accurate evaluation results for L2 speech. In (Yeo* et al., 2023), we leveraged self-supervised learning (SSL) models fine-tuned for phone recognition to generate objective phonetic transcriptions. These transcriptions were then used for a comparative analysis of L2 speech produced by speakers with diverse L1 backgrounds, highlighting L1 influences on pronunciation.

References

2023

  1. ICPhS
    Comparison of L2 Korean pronunciation error patterns from five L1 backgrounds by using automatic phonetic transcription
    Eunjung Yeo*, Hyungshin Ryu*, Jooyoung Lee, and 2 more authors
    In ICPhS, 2023