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Yoshihiko Nankaku
Yoshihiko Nankaku
Nagoya Institute of Technology
Verified email at sp-nitech.org
Title
Cited by
Cited by
Year
Speech synthesis based on hidden Markov models
K Tokuda, Y Nankaku, T Toda, H Zen, J Yamagishi, K Oura
Proceedings of the IEEE 101 (5), 1234-1252, 2013
6052013
An HMM-based singing voice synthesis system
K Saino, H Zen, Y Nankaku, A Lee, K Tokuda
Ninth International Conference on Spoken Language Processing, 2006
1532006
Recent development of the HMM-based singing voice synthesis system—Sinsy
K Oura, A Mase, T Yamada, S Muto, Y Nankaku, K Tokuda
Seventh ISCA Workshop on Speech Synthesis, 2010
1412010
State mapping based method for cross-lingual speaker adaptation in HMM-based speech synthesis.
YJ Wu, Y Nankaku, K Tokuda
Interspeech, 528-531, 2009
1102009
Singing Voice Synthesis Based on Deep Neural Networks.
M Nishimura, K Hashimoto, K Oura, Y Nankaku, K Tokuda
Interspeech, 2478-2482, 2016
1092016
An excitation model for HMM-based speech synthesis based on residual modeling
R Maia, T Toda, H Zen, Y Nankaku, K Tokuda
1002007
On the use of kernel PCA for feature extraction in speech recognition
A Lima, H Zen, Y Nankaku, C Miyajima, K Tokuda, T Kitamura
IEICE TRANSACTIONS on Information and Systems 87 (12), 2802-2811, 2004
952004
Continuous stochastic feature mapping based on trajectory HMMs
H Zen, Y Nankaku, K Tokuda
IEEE Transactions on Audio, Speech, and Language Processing 19 (2), 417-430, 2010
852010
Singing voice synthesis based on generative adversarial networks
Y Hono, K Hashimoto, K Oura, Y Nankaku, K Tokuda
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
712019
The effect of neural networks in statistical parametric speech synthesis
K Hashimoto, K Oura, Y Nankaku, K Tokuda
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
642015
Product of experts for statistical parametric speech synthesis
H Zen, MJF Gales, Y Nankaku, K Tokuda
IEEE Transactions on Audio, Speech, and Language Processing 20 (3), 794-805, 2011
642011
HMM-based singing voice synthesis and its application to Japanese and English
K Nakamura, K Oura, Y Nankaku, K Tokuda
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
422014
Sinsy: A deep neural network-based singing voice synthesis system
Y Hono, K Hashimoto, K Oura, Y Nankaku, K Tokuda
IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 2803-2815, 2021
412021
Recent development of the DNN-based singing voice synthesis system—sinsy
Y Hono, S Murata, K Nakamura, K Hashimoto, K Oura, Y Nankaku, ...
2018 Asia-Pacific Signal and Information Processing Association Annual …, 2018
412018
Trajectory training considering global variance for speech synthesis based on neural networks
K Hashimoto, K Oura, Y Nankaku, K Tokuda
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
392016
Pitch adaptive training for HMM-based singing voice synthesis
K Oura, A Mase, Y Nankaku, K Tokuda
2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012
392012
Singing voice synthesis based on convolutional neural networks
K Nakamura, K Hashimoto, K Oura, Y Nankaku, K Tokuda
arXiv preprint arXiv:1904.06868, 2019
372019
Face recognition based on separable lattice hmms
D Kurata, Y Nankaku, K Tokuda, T Kitamura, Z Ghahramani
2006 IEEE International Conference on Acoustics Speech and Signal Processing …, 2006
322006
Hierarchical multi-grained generative model for expressive speech synthesis
Y Hono, K Tsuboi, K Sawada, K Hashimoto, K Oura, Y Nankaku, ...
arXiv preprint arXiv:2009.08474, 2020
302020
Impacts of input linguistic feature representation on Japanese end-to-end speech synthesis
T Fujimoto, K Hashimoto, K Oura, Y Nankaku, K Tokuda
10th ISCA Speech Synthesis Workshop. ISCA, Vienna, Austria, 2019
292019
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Articles 1–20