PUBLICATIONS - 2016
Journal
- Kei Sawada, Akira Tamamori, Kei Hashimoto, Yoshihiko Nankaku, and Keiichi Tokuda,
``A Bayesian approach to image recognition based on separable lattice hidden Markov models,''
IEICE Transactions on Information and Systems, vol. E99-D, no. 12, pp. 3119-3131, December, 2016. (Full paper peer reviewed)
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International Conference
- Kei Sawada, Chiaki Asai, Kei Hashimoto, Keiichiro Oura, and Keiichi Tokuda,
``The NITech text-to-speech system for the Blizzard Challenge 2016,''
Blizzard Challenge 2016 Workshop, Cupertino, USA, September, 2016. (Full paper peer reviewed)
- Keiichi Tokuda, Kei Hashimoto, Keiichiro Oura, and Yoshihiko Nankaku, ``Temporal modeling in neural network based statistical parametric speech synthesis,'' 9th ISCA Speech Synthesis Workshop, pp. 113-118, Sunnyvale, USA, September, 2016. (Full paper peer reviewed)
- Rasmus Dall, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, and Keiichi Tokuda,
``Redefining the linguistic context feature set for HMM and DNN TTS through position and parsing,'' Interspeech 2016, pp. 2851-2855, San Francisco, USA, September, 2016. (Full paper peer reviewed)
- Masanari Nishimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, and Keiichi Tokuda,
``Singing voice synthesis based on deep neural networks,'' Interspeech 2016, pp. 2478-2482, San Francisco, USA, September, 2016. (Full paper peer reviewed)
- Takenori Yoshimura, Gustav Eje Henter, Oliver Watts, Mirjam Wester, Junichi Yamagishi, and Keiichi Tokuda, ``A hierarchical predictor of synthetic speech naturalness using neural networks,'' Interspeech 2016, pp. 342-346, San Francisco, USA, September, 2016. (Full paper peer reviewed)
- Naoki Hosaka, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, and Keiichi Tokuda, ``Voice conversion based on trajectory model training of neural networks considering global variance,'' Interspeech 2016, pp. 307-311, San Francisco, USA, September, 2016. (Full paper peer reviewed)
- Keiichi Tokuda, and Heiga Zen, ``Directly modeling voiced and unvoiced components in speech waveforms by neural networks,'' 2016 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 5640-5644, Shanghai, China, March, 2016. (Full paper peer reviewed)
- Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, and Keiichi Tokuda, ``Trajectory training considering global variance for speech synthesis based on neural networks,'' 2016 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 5600-5604, Shanghai, China, March, 2016. (Full paper peer reviewed)
- Kei Hashimoto, Junichi Yamagishi, and Isao Echizen, ``Privacy-preserving sound to degrade automatic speaker verification performance,'' 2016 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 5500-5504, Shanghai, China, March, 2016. (Full paper peer reviewed)
Past Publications
