3 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.CL2022★ 2 cited
Improving Automatic Speech Recognition for Non-Native English with Transfer Learning and Language Model Decoding
Peter Sullivan, Toshiko Shibano, Muhammad Abdul-Mageed
ASR systems designed for native English (L1) usually underperform on non-native English (L2). To address this performance gap, \textbf{(i)} we extend our previous work to investiga…
eess.AS2021★ 3 cited
Speech Technology for Everyone: Automatic Speech Recognition for Non-Native English with Transfer Learning
Toshiko Shibano, Xinyi Zhang, Mia Taige Li +3
To address the performance gap of English ASR models on L2 English speakers, we evaluate fine-tuning of pretrained wav2vec 2.0 models (Baevski et al., 2020; Xu et al., 2021) on L2-…