| Voice conversion through vector quantization M Abe, S Nakamura, K Shikano, H Kuwabara Journal of the Acoustical Society of Japan (E) 11 (2), 71-76, 1990 | 876 | 1990 |
| Learning to generate pseudo-code from source code using statistical machine translation Y Oda, H Fudaba, G Neubig, H Hata, S Sakti, T Toda, S Nakamura 2015 30th IEEE/ACM International Conference on Automated Software …, 2015 | 369 | 2015 |
| Acoustical sound database in real environments for sound scene understanding and hands-free speech recognition. S Nakamura, K Hiyane, F Asano, T Nishiura, T Yamada LREC, 965-968, 2000 | 343 | 2000 |
| Incorporating discrete translation lexicons into neural machine translation P Arthur, G Neubig, S Nakamura arXiv preprint arXiv:1606.02006, 2016 | 229 | 2016 |
| Listening while speaking: Speech chain by deep learning A Tjandra, S Sakti, S Nakamura 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2017 | 209 | 2017 |
| The ATR multilingual speech-to-speech translation system S Nakamura, K Markov, H Nakaiwa, G Kikui, H Kawai, T Jitsuhiro, ... IEEE Transactions on Audio, Speech, and Language Processing 14 (2), 365-376, 2006 | 199 | 2006 |
| Make skeleton-based action recognition model smaller, faster and better F Yang, Y Wu, S Sakti, S Nakamura Proceedings of the 1st ACM International Conference on Multimedia in Asia, 1-6, 2019 | 182 | 2019 |
| Lip movement synthesis from speech based on Hidden Markov Models E Yamamoto, S Nakamura, K Shikano Speech Communication 26 (1-2), 105-115, 1998 | 169 | 1998 |
| Speech enhancement based on the subspace method F Asano, S Hayamizu, T Yamada, S Nakamura IEEE transactions on speech and audio processing 8 (5), 497-507, 2000 | 156 | 2000 |
| Compressing recurrent neural network with tensor train A Tjandra, S Sakti, S Nakamura 2017 International Joint Conference on Neural Networks (IJCNN), 4451-4458, 2017 | 143 | 2017 |
| Guiding neural machine translation with retrieved translation pieces J Zhang, M Utiyama, E Sumita, G Neubig, S Nakamura arXiv preprint arXiv:1804.02559, 2018 | 142 | 2018 |
| Localization of multiple sound sources based on a CSP analysis with a microphone array T Nishiura, T Yamada, S Nakamura, K Shikano 2000 IEEE International Conference on Acoustics, Speech, and Signal …, 2000 | 141 | 2000 |
| Overcoming the language barrier with speech translation technology S Nakamura Science & Technology Trends-Quarterly Review 31, 2009 | 140 | 2009 |
| Embodied conversational agents for multimodal automated social skills training in people with autism spectrum disorders H Tanaka, H Negoro, H Iwasaka, S Nakamura PLOS ONE 12 (8), 2017 | 125 | 2017 |
| USB: A Unified Semi-supervised Learning Benchmark for Classification YWHCYFWSUNRTWHRWLYZZLZGHQZWYFLSNWYMSBRTSBSJWXXY Zhang NeurIPS 2022 Datasets and Benchmarks, 2022 | 117 | 2022 |
| Detecting dementia through interactive computer avatars H Tanaka, H Adachi, N Ukita, M Ikeda, H Kazui, T Kudo, S Nakamura IEEE journal of translational engineering in health and medicine 5, 1-11, 2017 | 116 | 2017 |
| Statistical singing voice conversion with direct waveform modification based on the spectrum differential K Kobayashi, T Toda, G Neubig, S Sakti, S Nakamura Fifteenth Annual Conference of the International Speech Communication …, 2014 | 107 | 2014 |
| Postfilters to modify the modulation spectrum for statistical parametric speech synthesis S Takamichi, T Toda, AW Black, G Neubig, S Sakti, S Nakamura IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (4), 755-767, 2016 | 106 | 2016 |
| Findings of the IWSLT 2022 Evaluation Campaign. A Anastasopoulos, L Barrault, L Bentivogli, MZ Boito, O Bojar, R Cattoni, ... Proceedings of the 19th International Conference on Spoken Language …, 2022 | 105 | 2022 |
| AURORA-2J: An evaluation framework for Japanese noisy speech recognition S Nakamura, K Takeda, K Yamamoto, T Yamada, S Kuroiwa, N Kitaoka, ... IEICE transactions on information and systems 88 (3), 535-544, 2005 | 105 | 2005 |
Graham NeubigCarnegie Mellon University, All Hands AI確認したメール アドレス: cs.cmu.edu
