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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
5732013
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
1522006
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
1352010
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
1052016
An excitation model for HMM-based speech synthesis based on residual modeling
R Maia, T Toda, H Zen, Y Nankaku, K Tokuda
1012007
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
942004
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
862010
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
662019
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
632015
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
632011
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
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
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
382018
Singing voice synthesis based on convolutional neural networks
K Nakamura, K Hashimoto, K Oura, Y Nankaku, K Tokuda
arXiv preprint arXiv:1904.06868, 2019
352019
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
342021
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
A trainable excitation model for HMM-based speech synthesis
R Maia, T Toda, H Zen, Y Nankaku, K Tokuda
292007
Deterministic annealing EM algorithm in acoustic modeling for speaker and speech recognition
Y Itaya, H Zen, Y Nankaku, C Miyajima, K Tokuda, T Kitamura
IEICE transactions on information and systems 88 (3), 425-431, 2005
282005
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