Yoshihiko Nankaku
Yoshihiko Nankaku
Nagoya Institute of Technology
Verifierad e-postadress på sp-nitech.org
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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
4682013
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
1242006
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
1032009
An excitation model for HMM-based speech synthesis based on residual modeling
R Maia, T Toda, H Zen, Y Nankaku, K Tokuda
992007
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
982010
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
792004
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
772010
Singing Voice Synthesis Based on Deep Neural Networks.
M Nishimura, K Hashimoto, K Oura, Y Nankaku, K Tokuda
Interspeech, 2478-2482, 2016
562016
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
542015
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
522011
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
352012
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
342016
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
272007
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
262014
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
252010
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
232005
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
222019
Cross-lingual speaker adaptation for HMM-based speech synthesis considering differences between language-dependent average voices
X Peng, K Oura, Y Nankaku, K Tokuda
IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, 605-608, 2010
222010
On the use of phonetic information for mapping from articulatory movements to vocal tract spectrum
K Nakamura, T Toda, Y Nankaku, K Tokuda
2006 IEEE International Conference on Acoustics Speech and Signal Processing …, 2006
212006
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Artiklar 1–20