Shinnosuke Takamichi
Shinnosuke Takamichi
確認したメール アドレス: ipc.i.u-tokyo.ac.jp - ホームページ
タイトル
引用先
引用先
Statistical parametric speech synthesis incorporating generative adversarial networks
Y Saito, S Takamichi, H Saruwatari
IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (1), 84-96, 2018
1782018
Post-Filters to Modify the Modulation Spectrum for Statistical Parametric Speech Synthesis
S Takamichi, T Toda, A Black, S Sakti, G Neubig, S Nakamura
IEEE, 2016
812016
Non-parallel voice conversion using variational autoencoders conditioned by phonetic posteriorgrams and d-vectors
Y Saito, Y Ijima, K Nishida, S Takamichi
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
792018
A postfilter to modify the modulation spectrum in HMM-based speech synthesis
S Takamichi, T Toda, G Neubig, S Sakti, S Nakamura
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
722014
JSUT corpus: free large-scale Japanese speech corpus for end-to-end speech synthesis
R Sonobe, S Takamichi, H Saruwatari
arXiv preprint arXiv:1711.00354, 2017
532017
Voice conversion using sequence-to-sequence learning of context posterior probabilities
H Miyoshi, Y Saito, S Takamichi, H Saruwatari
arXiv preprint arXiv:1704.02360, 2017
502017
The NAIST Text-to-Speech System for the Blizzard Challenge 2015
S Takamichi, K Kobayashi, K Tanaka, T Toda, S Nakamura
Blizzard Challenge Workshop, 2015
43*2015
Modulation spectrum-constrained trajectory training algorithm for GMM-based voice conversion
S Takamichi, T Toda, AW Black, S Nakamura
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
342015
Training algorithm to deceive anti-spoofing verification for DNN-based speech synthesis
Y Saito, S Takamichi, H Saruwatari
Proc. ICASSP, 2017
332017
Independent deeply learned matrix analysis for determined audio source separation
N Makishima, S Mogami, N Takamune, D Kitamura, H Sumino, ...
IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (10 …, 2019
292019
Voice conversion using input-to-output highway networks
Y Saito, S Takamichi, H Saruwatari
IEICE Transactions on Information and Systems 100 (8), 1925-1928, 2017
272017
Independent deeply learned matrix analysis for multichannel audio source separation
S Mogami, H Sumino, D Kitamura, N Takamune, S Takamichi, ...
2018 26th European Signal Processing Conference (EUSIPCO), 1557-1561, 2018
262018
JVS corpus: free Japanese multi-speaker voice corpus
S Takamichi, K Mitsui, Y Saito, T Koriyama, N Tanji, H Saruwatari
arXiv preprint arXiv:1908.06248, 2019
252019
The NU-NAIST Voice Conversion System for the Voice Conversion Challenge 2016.
K Kobayashi, S Takamichi, S Nakamura, T Toda
Interspeech, 1667-1671, 2016
252016
Parameter generation methods with rich context models for high-quality and flexible text-to-speech synthesis
S Takamichi, T Toda, Y Shiga, S Sakti, G Neubig, S Nakamura
IEEE Journal of Selected Topics in Signal Processing 8 (2), 239-250, 2013
242013
Blind source separation based on independent low-rank matrix analysis with sparse regularization for time-series activity
Y Mitsui, D Kitamura, S Takamichi, N Ono, H Saruwatari
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
212017
Phase reconstruction from amplitude spectrograms based on von-Mises-distribution deep neural network
S Takamichi, Y Saito, N Takamune, D Kitamura, H Saruwatari
2018 16th International Workshop on Acoustic Signal Enhancement (IWAENC …, 2018
202018
Sampling-based speech parameter generation using moment-matching networks
S Takamichi, T Koriyama, H Saruwatari
arXiv preprint arXiv:1704.03626, 2017
202017
A method for translation of paralinguistic information
T Kano, S Sakti, S Takamichi, G Neubig, T Toda, S Nakamura
International Workshop on Spoken Language Translation (IWSLT) 2012, 2012
192012
Parameter generation algorithm considering modulation spectrum for HMM-based speech synthesis
S Takamichi, T Toda, AW Black, S Nakamura
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
182015
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