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Shinnosuke Takamichi
Shinnosuke Takamichi
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Title
Cited by
Cited by
Year
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
2722018
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
1742017
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
1452018
Utmos: Utokyo-sarulab system for voicemos challenge 2022
T Saeki, D Xin, W Nakata, T Koriyama, S Takamichi, H Saruwatari
arXiv preprint arXiv:2204.02152, 2022
1382022
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
1082016
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
872014
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
812019
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
762019
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
702017
JSUT and JVS: Free Japanese voice corpora for accelerating speech synthesis research
S Takamichi, R Sonobe, K Mitsui, Y Saito, T Koriyama, N Tanji, ...
Acoustical Science and Technology 41 (5), 761-768, 2020
612020
Espnet2-tts: Extending the edge of tts research
T Hayashi, R Yamamoto, T Yoshimura, P Wu, J Shi, T Saeki, Y Ju, ...
arXiv preprint arXiv:2110.07840, 2021
602021
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
58*2015
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
502018
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
462018
Training algorithm to deceive anti-spoofing verification for DNN-based speech synthesis
Y Saito, S Takamichi, H Saruwatari
Proc. ICASSP, 2017
392017
The NU-NAIST Voice Conversion System for the Voice Conversion Challenge 2016.
K Kobayashi, S Takamichi, S Nakamura, T Toda
Interspeech, 1667-1671, 2016
392016
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
372015
Disentangled speaker and language representations using mutual information minimization and domain adaptation for cross-lingual TTS
D Xin, T Komatsu, S Takamichi, H Saruwatari
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
352021
Foley sound synthesis at the dcase 2023 challenge
K Choi, J Im, L Heller, B McFee, K Imoto, Y Okamoto, M Lagrange, ...
arXiv preprint arXiv:2304.12521, 2023
342023
JVS-MuSiC: Japanese multispeaker singing-voice corpus
H Tamaru, S Takamichi, N Tanji, H Saruwatari
arXiv preprint arXiv:2001.07044, 2020
342020
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Articles 1–20