| Non-audible murmur recognition input interface using stethoscopic microphone attached to the skin Y Nakajima, H Kashioka, K Shikano, N Campbell 2003 IEEE International Conference on Acoustics, Speech, and Signal …, 2003 | 139 | 2003 |
| Non-audible murmur (NAM) recognition Y Nakajima, H Kashioka, N Campbell, K Shikano IEICE TRANSACTIONS on Information and Systems 89 (1), 1-8, 2006 | 136 | 2006 |
| Solutions to problems inherent in spoken-language translation: The ATR-MATRIX approach E Sumita, S Yamada, K Yamamoto, M Paul, H Kashioka, K Ishikawa, ... Proceedings of Machine Translation Summit VII, 229-235, 1999 | 86 | 1999 |
| No laughing matter. N Campbell, H Kashioka, R Ohara INTERSPEECH, 465-468, 2005 | 80 | 2005 |
| Learning, generation and recognition of motions by reference-point-dependent probabilistic models K Sugiura, N Iwahashi, H Kashioka, S Nakamura Advanced Robotics 25 (6-7), 825-848, 2011 | 55 | 2011 |
| Statistical dialog management applied to WFST-based dialog systems C Hori, K Ohtake, T Misu, H Kashioka, S Nakamura 2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009 | 55 | 2009 |
| Cross-language voice conversion evaluation using bilingual databases M Mashimo, T Toda, H Kawanami, K Shikano, N Campbell IPSJ Journal 43 (7), 2177-2185, 2002 | 51 | 2002 |
| Improving WFST-based G2P Conversion with Alignment Constraints and RNNLM N-best Rescoring. JR Novak, N Minematsu, K Hirose, C Hori, H Kashioka, PR Dixon Interspeech, 2526-2529, 2012 | 50 | 2012 |
| Speech restoration based on deep learning autoencoder with layer-wised pretraining. X Lu, S Matsuda, C Hori, H Kashioka Interspeech 2012, 1504-1507, 2012 | 44 | 2012 |
| Multilingual speech-to-speech translation system: Voicetra S Matsuda, X Hu, Y Shiga, H Kashioka, C Hori, K Yasuda, H Okuma, ... 2013 IEEE 14th International Conference on Mobile Data Management 2, 229-233, 2013 | 40 | 2013 |
| Improving body transmitted unvoiced speech with statistical voice conversion M Nakagiri, T Toda, H Kashioka, K Shikano | 38 | 2006 |
| Factored language model based on recurrent neural network Y Wu, X Lu, H Yamamoto, S Matsuda, C Hori, H Kashioka Proceedings of COLING 2012, 2835-2850, 2012 | 36 | 2012 |
| Beyond skeleton parsing: producing a comprehensive large-scale general-English treebank with full grammatical analysis E Black, S Eubank, H Kashioka, DM Magerman, R Garside, G Leech COLING 1996 Volume 1: The 16th International Conference on Computational …, 1996 | 35 | 1996 |
| Deep neural network learning method and apparatus, and category-independent sub-network learning apparatus S Matsuda, LU Xugang, C Hori, H Kashioka US Patent 9,691,020, 2017 | 32 | 2017 |
| Dialog management using weighted finite-state transducers. C Hori, K Ohtake, T Misu, H Kashioka, S Nakamura Interspeech, 211-214, 2008 | 31 | 2008 |
| NiCT at TREC 2009: Employing Three Models for Entity Ranking Track. Y Wu, H Kashioka TREC, 2009 | 27 | 2009 |
| Unconscious improvement in foreign language learning using mismatch negativity neurofeedback: A preliminary study M Chang, H Iizuka, H Kashioka, Y Naruse, M Furukawa, H Ando, T Maeda PloS one 12 (6), e0178694, 2017 | 26 | 2017 |
| Remodeling of the sensor for non-audible murmur (NAM) Y Nakajima, H Kashioka, K Shikano, N Campbell | 26 | 2005 |
| Probabilistic model for example-based machine translation E Aramaki, S Kurohashi, H Kashioka, N Kato Proceedings of Machine Translation Summit X: Papers, 219-226, 2005 | 25 | 2005 |
| Leveraging social Q&A collections for improving complex question answering Y Wu, C Hori, H Kashioka, H Kawai Computer Speech & Language 29 (1), 1-19, 2015 | 24 | 2015 |
