Kou Tanaka
Kou Tanaka
確認したメール アドレス: lab.ntt.co.jp - ホームページ
タイトル
引用先
引用先
Stargan-vc: Non-parallel many-to-many voice conversion using star generative adversarial networks
H Kameoka, T Kaneko, K Tanaka, N Hojo
2018 IEEE Spoken Language Technology Workshop (SLT), 266-273, 2018
1632018
Cyclegan-vc2: Improved cyclegan-based non-parallel voice conversion
T Kaneko, H Kameoka, K Tanaka, N Hojo
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
852019
AttS2S-VC: Sequence-to-sequence voice conversion with attention and context preservation mechanisms
K Tanaka, H Kameoka, T Kaneko, N Hojo
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
542019
ACVAE-VC: Non-parallel many-to-many voice conversion with auxiliary classifier variational autoencoder
H Kameoka, T Kaneko, K Tanaka, N Hojo
arXiv preprint arXiv:1808.05092, 2018
412018
StarGAN-VC2: Rethinking conditional methods for StarGAN-based voice conversion
T Kaneko, H Kameoka, K Tanaka, N Hojo
arXiv preprint arXiv:1907.12279, 2019
402019
Studies on the adenosine triphosphatase, calcium uptake and relaxing activity of the microsomal granules from skeletal muscle.
KS Lee, K Tanaka, DH Yu
The Journal of physiology 179 (3), 456, 1965
401965
ACVAE-VC: Non-parallel voice conversion with auxiliary classifier variational autoencoder
H Kameoka, T Kaneko, K Tanaka, N Hojo
IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (9), 1432 …, 2019
312019
A hybrid approach to electrolaryngeal speech enhancement based on noise reduction and statistical excitation generation
K Tanaka, T Toda, G Neubig, S Sakti, S Nakamura
IEICE TRANSACTIONS on Information and Systems 97 (6), 1429-1437, 2014
282014
ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech
X Wang, J Yamagishi, M Todisco, H Delgado, A Nautsch, N Evans, ...
Computer Speech & Language 64, 101114, 2020
262020
ConvS2S-VC: Fully convolutional sequence-to-sequence voice conversion
H Kameoka, K Tanaka, D Kwasny, T Kaneko, N Hojo
arXiv preprint arXiv:1811.01609, 2018
242018
Synthetic-to-natural speech waveform conversion using cycle-consistent adversarial networks
K Tanaka, T Kaneko, N Hojo, H Kameoka
2018 IEEE Spoken Language Technology Workshop (SLT), 632-639, 2018
232018
The NAIST text-to-speech system for the Blizzard Challenge 2015
S Takamichi, K Kobayashi, K Tanaka, T Toda, S Nakamura
Proc. Blizzard Challenge workshop 2, 2015
222015
The IRISA text-to-speech system for the Blizzard Challenge 2016
P Alain, J Chevelu, D Guennec, G Lecorvé, D Lolive
Blizzard Challenge 2016 workshop, 2016
202016
Generative adversarial network-based approach to signal reconstruction from magnitude spectrogram
K Oyamada, H Kameoka, T Kaneko, K Tanaka, N Hojo, H Ando
2018 26th European Signal Processing Conference (EUSIPCO), 2514-2518, 2018
182018
A hybrid approach to electrolaryngeal speech enhancement based on spectral subtraction and statistical voice conversion.
K Tanaka, T Toda, G Neubig, S Sakti, S Nakamura
INTERSPEECH, 3067-3071, 2013
172013
Wavecyclegan2: Time-domain neural post-filter for speech waveform generation
K Tanaka, H Kameoka, T Kaneko, N Hojo
arXiv preprint arXiv:1904.02892, 2019
112019
Non-audible murmur enhancement based on statistical conversion using air-and body-conductive microphones in noisy environments
Y Tajiri, K Tanaka, T Toda, G Neubig, S Sakti, S Nakamura
Sixteenth Annual Conference of the International Speech Communication …, 2015
92015
An evaluation of excitation feature prediction in a hybrid approach to electrolaryngeal speech enhancement
K Tanaka, T Toda, G Neubig, S Sakti, S Nakamura
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
82014
Direct F0 Control of an Electrolarynx Based on Statistical Excitation Feature Prediction and its Evaluation Through Simulation
K Tanaka, T Toda, G Neubig, S Sakti, S Nakamura
Fifteenth Annual Conference of the International Speech Communication …, 2014
72014
Many-to-many voice transformer network
H Kameoka, WC Huang, K Tanaka, T Kaneko, N Hojo, T Toda
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2020
62020
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