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Yoshihiko Nankaku
Yoshihiko Nankaku
Nagoya Institute of Technology
Bestätigte E-Mail-Adresse bei sp-nitech.org
Titel
Zitiert von
Zitiert von
Jahr
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
5132013
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
1412006
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
1122010
State mapping based method for cross-lingual speaker adaptation in HMM-based speech synthesis
YJ Wu, Y Nankaku, K Tokuda
Tenth Annual Conference of the International Speech Communication Association, 2009
1082009
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
902004
Singing Voice Synthesis Based on Deep Neural Networks.
M Nishimura, K Hashimoto, K Oura, Y Nankaku, K Tokuda
Interspeech, 2478-2482, 2016
882016
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
832010
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
602015
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
562011
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
492019
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
372012
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
362016
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
332014
Singing voice synthesis based on convolutional neural networks
K Nakamura, K Hashimoto, K Oura, Y Nankaku, K Tokuda
arXiv preprint arXiv:1904.06868, 2019
322019
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
292018
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
292006
A trainable excitation model for HMM-based speech synthesis
R Maia, T Toda, H Zen, Y Nankaku, K Tokuda
282007
Voice activity detection based on conditional random fields using multiple features
A Saito, Y Nankaku, A Lee, K Tokuda
Eleventh Annual Conference of the International Speech Communication Association, 2010
242010
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
242005
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