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Taiki Nakamura
Taiki Nakamura
1st year M.S. student, the University of Tokyo
Verified email at g.ecc.u-tokyo.ac.jp - Homepage
Title
Cited by
Cited by
Year
V2S attack: building DNN-based voice conversion from automatic speaker verification
T Nakamura, Y Saito, S Takamichi, Y Ijima, H Saruwatari
arXiv preprint arXiv:1908.01454, 2019
72019
Sequence-to-Sequence Learning for Deep Gaussian Process Based Speech Synthesis Using Self-Attention GP Layer.
T Nakamura, T Koriyama, H Saruwatari
Interspeech, 121-125, 2021
22021
Non-parallel and many-to-many voice conversion using variational autoencoders integrating speech recognition and speaker verification
Y Saito, T Nakamura, Y Ijima, K Nishida, S Takamichi
Acoustical Science and Technology 42 (1), 1-11, 2021
22021
Operative Action Captioning for Estimating System Actions
T Nakamura, S Kawano, A Yuguchi, Y Kawanishi, K Yoshino
2023 IEEE International Conference on Robotics and Automation (ICRA), 6124-6130, 2023
2023
What Should the System Do Next?: Operative Action Captioning for Estimating System Actions
T Nakamura, S Kawano, A Yuguchi, Y Kawanishi, K Yoshino
arXiv preprint arXiv:2210.02735, 2022
2022
磁気光学効果による動的磁場の広範囲かつ実時間観察
中村泰貴, 磯上慎二, 豊島晋
光学= Japanese journal of optics: publication of the Optical Society of …, 2017
2017
Sequence-to-Sequence Speech Synthesis Based on Deep Gaussian Process
T Nakamura, T Koriyama, Y Saito, H Saruwatari
Available at SSRN 4741109, 0
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Articles 1–7