Kei Hashimoto
Title
Cited by
Cited by
Year
Singing Voice Synthesis Based on Deep Neural Networks.
M Nishimura, K Hashimoto, K Oura, Y Nankaku, K Tokuda
Interspeech, 2478-2482, 2016
672016
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
582015
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
352016
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
292019
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
222018
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
202018
Bayesian context clustering using cross valid prior distribution for HMM-based speech recognition
K Hashimoto, H Zen, Y Nankaku, A Lee, K Tokuda
Ninth Annual Conference of the International Speech Communication Association, 2008
202008
Singing voice synthesis based on convolutional neural networks
K Nakamura, K Hashimoto, K Oura, Y Nankaku, K Tokuda
arXiv preprint arXiv:1904.06868, 2019
182019
Temporal modeling in neural network based statistical parametric speech synthesis.
K Tokuda, K Hashimoto, K Oura, Y Nankaku
SSW, 106-111, 2016
182016
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
182016
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
182014
A mel-cepstral analysis technique restoring high frequency components from low-sampling-rate speech
K Nakamura, K Hashimoto, K Oura, Y Nankaku, K Tokuda
Fifteenth Annual Conference of the International Speech Communication …, 2014
172014
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
142018
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
142012
A Bayesian approach to HMM-based speech synthesis
K Hashimoto, H Zen, Y Nankaku, T Masuko, K Tokuda
2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009
142009
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
132016
A Bayesian approach to hidden semi-Markov model based speech synthesis
K Hashimoto, Y Nankaku, K Tokuda
Tenth Annual Conference of the International Speech Communication Association, 2009
132009
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
122020
An analysis of machine translation and speech synthesis in speech-to-speech translation system
K Hashimoto, J Yamagishi, W Byrne, S King, K Tokuda
2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011
112011
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
102019
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Articles 1–20