| 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 | 239 | 2015 |
| Listening while speaking: Speech chain by deep learning A Tjandra, S Sakti, S Nakamura 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2017 | 143 | 2017 |
| Compressing recurrent neural network with tensor train A Tjandra, S Sakti, S Nakamura 2017 International Joint Conference on Neural Networks (IJCNN), 4451-4458, 2017 | 90 | 2017 |
| 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 | 87 | 2016 |
| The zero resource speech challenge 2019: TTS without T E Dunbar, R Algayres, J Karadayi, M Bernard, J Benjumea, XN Cao, ... arXiv preprint arXiv:1904.11469, 2019 | 86 | 2019 |
| 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 | 81 | 2014 |
| A postfilter to modify the modulation spectrum in HMM-based speech synthesis S Takamichi, T Toda, G Neubig, S Sakti, S Nakamura 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 72 | 2014 |
| Optimizing segmentation strategies for simultaneous speech translation Y Oda, G Neubig, S Sakti, T Toda, S Nakamura Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 67 | 2014 |
| Eliciting positive emotion through affect-sensitive dialogue response generation: A neural network approach N Lubis, S Sakti, K Yoshino, S Nakamura Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 60 | 2018 |
| Make skeleton-based action recognition model smaller, faster and better F Yang, Y Wu, S Sakti, S Nakamura Proceedings of the ACM multimedia asia, 1-6, 2019 | 56 | 2019 |
| Machine speech chain with one-shot speaker adaptation A Tjandra, S Sakti, S Nakamura arXiv preprint arXiv:1803.10525, 2018 | 53 | 2018 |
| Automated social skills trainer H Tanaka, S Sakti, G Neubig, T Toda, H Negoro, H Iwasaka, S Nakamura Proceedings of the 20th International Conference on Intelligent User …, 2015 | 53 | 2015 |
| Developing non-goal dialog system based on examples of drama television L Nio, S Sakti, G Neubig, T Toda, M Adriani, S Nakamura Natural Interaction with Robots, Knowbots and Smartphones, 355-361, 2014 | 48 | 2014 |
| Simple, lexicalized choice of translation timing for simultaneous speech translation. T Fujita, G Neubig, S Sakti, T Toda, S Nakamura INTERSPEECH, 3487-3491, 2013 | 47 | 2013 |
| Development of Indonesian large vocabulary continuous speech recognition system within A-STAR project S Sakti, E Kelana, H Riza, S Sakai, K Markov, S Nakamura Proceedings of the Workshop on Technologies and Corpora for Asia-Pacific …, 2008 | 47 | 2008 |
| VQVAE unsupervised unit discovery and multi-scale code2spec inverter for zerospeech challenge 2019 A Tjandra, B Sisman, M Zhang, S Sakti, H Li, S Nakamura arXiv preprint arXiv:1905.11449, 2019 | 46 | 2019 |
| Feature optimized DPGMM clustering for unsupervised subword modeling: A contribution to zerospeech 2017 M Heck, S Sakti, S Nakamura 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2017 | 46 | 2017 |
| Local monotonic attention mechanism for end-to-end speech and language processing A Tjandra, S Sakti, S Nakamura arXiv preprint arXiv:1705.08091, 2017 | 43 | 2017 |
| Structured-based curriculum learning for end-to-end english-japanese speech translation T Kano, S Sakti, S Nakamura arXiv preprint arXiv:1802.06003, 2018 | 38 | 2018 |
| Unsupervised linear discriminant analysis for supporting DPGMM clustering in the zero resource scenario M Heck, S Sakti, S Nakamura Procedia Computer Science 81, 73-79, 2016 | 38 | 2016 |
Satoshi NakamuraNara Institute of Science and Technology確認したメール アドレス: is.naist.jp
