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Kei Hashimoto
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Year
Singing Voice Synthesis Based on Deep Neural Networks.
M Nishimura, K Hashimoto, K Oura, Y Nankaku, K Tokuda
Interspeech, 2478-2482, 2016
1052016
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
662019
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
632015
Privacy-preserving sound to degrade automatic speaker verification performance
K Hashimoto, J Yamagishi, I Echizen
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
442016
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
392016
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
382018
Singing voice synthesis based on convolutional neural networks
K Nakamura, K Hashimoto, K Oura, Y Nankaku, K Tokuda
arXiv preprint arXiv:1904.06868, 2019
352019
Sinsy: A deep neural network-based singing voice synthesis system
Y Hono, K Hashimoto, K Oura, Y Nankaku, K Tokuda
IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 2803-2815, 2021
342021
Hierarchical multi-grained generative model for expressive speech synthesis
Y Hono, K Tsuboi, K Sawada, K Hashimoto, K Oura, Y Nankaku, ...
arXiv preprint arXiv:2009.08474, 2020
252020
Impacts of input linguistic feature representation on Japanese end-to-end speech synthesis
T Fujimoto, K Hashimoto, K Oura, Y Nankaku, K Tokuda
10th ISCA Speech Synthesis Workshop. ISCA, Vienna, Austria, 2019
242019
Statistical voice conversion based on WaveNet
J Niwa, T Yoshimura, K Hashimoto, K Oura, Y Nankaku, K Tokuda
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
232018
Fast and high-quality singing voice synthesis system based on convolutional neural networks
K Nakamura, S Takaki, K Hashimoto, K Oura, Y Nankaku, K Tokuda
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
222020
Temporal modeling in neural network based statistical parametric speech synthesis.
K Tokuda, K Hashimoto, K Oura, Y Nankaku
SSW, 106-111, 2016
222016
Integration of speaker and pitch adaptive training for HMM-based singing voice synthesis
K Shirota, K Nakamura, K Hashimoto, K Oura, Y Nankaku, K Tokuda
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
222014
A mel-cepstral analysis technique restoring high frequency components from low-sampling-rate speech.
K Nakamura, K Hashimoto, K Oura, Y Nankaku, K Tokuda
Interspeech, 2494-2498, 2014
222014
Bayesian context clustering using cross valid prior distribution for HMM-based speech recognition.
K Hashimoto, H Zen, Y Nankaku, A Lee, K Tokuda
INTERSPEECH, 936-939, 2008
202008
Impacts of machine translation and speech synthesis on speech-to-speech translation
K Hashimoto, J Yamagishi, W Byrne, S King, K Tokuda
Speech Communication 54 (7), 857-866, 2012
192012
PeriodNet: A non-autoregressive waveform generation model with a structure separating periodic and aperiodic components
Y Hono, S Takaki, K Hashimoto, K Oura, Y Nankaku, K Tokuda
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
172021
Mel-cepstrum-based quantization noise shaping applied to neural-network-based speech waveform synthesis
T Yoshimura, K Hashimoto, K Oura, Y Nankaku, K Tokuda
IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (7), 1177 …, 2018
162018
Redefining the Linguistic Context Feature Set for HMM and DNN TTS Through Position and Parsing.
R Dall, K Hashimoto, K Oura, Y Nankaku, K Tokuda
Interspeech, 2851-2855, 2016
162016
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Articles 1–20