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
- ICPhSComparison of L2 Korean pronunciation error patterns from five L1 backgrounds by using automatic phonetic transcriptionIn ICPhS, 2023