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GenieTutor: A Computer-Assisted Second-Language Learning System Based on Spoken Language Understanding.

, , , , , , , , , , , , and . IWSDS, page 257-262. Springer, (2015)

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Non-native pronunciation variation modeling using an indirect data driven method., , and . ASRU, page 231-236. IEEE, (2007)A Hybrid Acoustic and Pronunciation Model Adaptation Approach for Non-native Speech Recognition., and . IEICE Trans. Inf. Syst., 93-D (9): 2379-2387 (2010)A deep-learning based native-language classification by using a latent semantic analysis for the NLI Shared Task 2017., , , , , and . BEA@EMNLP, page 413-422. Association for Computational Linguistics, (2017)MLLR/MAP adaptation using pronunciation variation for non-native speech recognition., and . ASRU, page 216-221. IEEE, (2009)Acoustic Model Adaptation Based on Pronunciation Variability Analysis for Non-Native Speech Recognition., , and . ICASSP (1), page 137-140. IEEE, (2006)On-Device Streaming Transformer-Based End-to-End Speech Recognition., and . Interspeech, page 967-968. ISCA, (2021)Phonetically Balanced Text Corpus Design Using a Similarity Measure for a Stereo Super-Wideband Speech Database., , , , , and . IEICE Trans. Inf. Syst., 94-D (7): 1459-1466 (2011)Acoustic and pronunciation model adaptation for context-independent and context-dependent pronunciation variability of non-native speech., , and . ICASSP, page 4281-4284. IEEE, (2008)Frame-Level Selective Decoding Using Native and Non-native Acoustic Models for Robust Speech Recognition to Native and Non-native Speech., , , and . IWSDS, page 269-274. Springer, (2012)Phonetic state relation graph regularized deep neural network for robust acoustic model., , , and . IJCNN, page 3081-3085. IEEE, (2017)