| Acoustic model adaptation based on pronunciation variability analysis for non-native speech recognition YR Oh, JS Yoon, HK Kim Speech Communication 49 (1), 59-70, 2007 | 69 | 2007 |
| A name recognition based call-and-come service for home robots YR Oh, JS Yoon, JH Park, M Kim, HK Kim IEEE Transactions on Consumer Electronics 54 (2), 247-253, 2008 | 51 | 2008 |
| Non-native pronunciation variation modeling using an indirect data driven method M Kim, YR Oh, HK Kim 2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU …, 2007 | 34 | 2007 |
| Acoustic model adaptation methods based on pronunciation variability analysis for enhancing the recognition of voice of non-native speaker and apparatus thereof HK Kim, YR Oh, JS Yoon US Patent 8,515,753, 2013 | 27 | 2013 |
| Responsive multimedia system for virtual storytelling Y Lee, S Oh, Y Park, BC Lee, JC Park, YR Oh, S Lee, H Oh, J Ryu, ... Pacific-Rim Conference on Multimedia, 361-372, 2005 | 24 | 2005 |
| Automatic proficiency assessment of Korean speech read aloud by non‐natives using bidirectional LSTM‐based speech recognition YR Oh, K Park, HB Jeon, JG Park ETRI Journal, 2020 | 21 | 2020 |
| GenieTutor: A Computer-Assisted Second-Language Learning System Based on Spoken Language Understanding OW Kwon, K Lee, YH Roh, JX Huang, SK Choi, YK Kim, HB Jeon, YR Oh, ... Natural language dialog systems and intelligent assistants, 257-262, 2015 | 19 | 2015 |
| MLLR/MAP adaptation using pronunciation variation for non-native speech recognition YR Oh, HK Kim 2009 IEEE Workshop on Automatic Speech Recognition & Understanding, 216-221, 2009 | 19 | 2009 |
| Deep-Learning Based Automatic Spontaneous Speech Assessment in a Data-Driven Approach for the 2017 SLaTE CALL Shared Challenge. YR Oh, HB Jeon, HJ Song, BO Kang, YK Lee, JG Park, YK Lee SLaTE, 103-108, 2017 | 13 | 2017 |
| A voice-driven scene-mode recommendation service for portable digital imaging devices YR Oh, JS Yoon, HK Kim, MB Kim, SR Kim IEEE Transactions on Consumer Electronics 55 (4), 1739-1747, 2009 | 12 | 2009 |
| Acoustic and pronunciation model adaptation for context-independent and context-dependent pronunciation variability of non-native speech YR Oh, M Kim, HK Kim 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008 | 12 | 2008 |
| Online Speech Recognition Using Multichannel Parallel Acoustic Score Computation and Deep Neural Network (DNN)-Based Voice-Activity Detector YR Oh, K Park, JG Park Applied Sciences 10 (12), 4091, 2020 | 10 | 2020 |
| Fast offline Transformer-based end-to-end automatic speech recognition for real-world applications YR Oh, K Park, JG Park arXiv preprint arXiv:2101.05600, 2021 | 9 | 2021 |
| A deep-learning based native-language classification by using a latent semantic analysis for the NLI Shared Task 2017 YR Oh, HB Jeon, HJ Song, YK Lee, JG Park, YK Lee Proceedings of the 12th Workshop on Innovative Use of NLP for Building …, 2017 | 8 | 2017 |
| Phonetically balanced text corpus design using a similarity measure for a stereo super-wideband speech database YR Oh, YG Kim, M Kim, HK Kim, MS Lee, HJ Bae IEICE TRANSACTIONS on Information and Systems 94 (7), 1459-1466, 2011 | 7 | 2011 |
| A hybrid acoustic and pronunciation model adaptation approach for non-native speech recognition YR Oh, HK Kim IEICE TRANSACTIONS on Information and Systems 93 (9), 2379-2387, 2010 | 7 | 2010 |
| Optimizing multiple pronunciation dictionary based on a confusability measure for non-native speech recognition MA Kim, YR Oh, HK Kim Proceedings of IASTED, Innsbruck, Austria, 215-220, 2008 | 4 | 2008 |
| A MFCC-based CELP speech coder for server-based speech recognition in network environments GH Lee, JS Yoon, YR Oh, HK Kim MALSORI, 27-43, 2005 | 4 | 2005 |
| Consumer Electronics YR Oh, JS Yoon, HK Kim, MB Kim, SR Kim, S Kim, S Jun, E Lee, J Shin, ... | 3 | 2014 |
| Non-native pronunciation variation modeling for automatic speech recognition M Kim, YR Oh, HK Kim SCIYO. COM, 83, 2010 | 3 | 2010 |
