PUBLICATIONS - 2009

Journal

  1. Kei Hashimoto, Hirohumi Yamamoto, Hideo Okuma, Eiichiro Sumita, and Keiichi Tokuda, ``A reordering model using a source-side parse-tree for statistical machine translation,'' IEICE Transactions on Information and Systems, vol. E92-D, no. 12, pp. 2386-2393, December, 2009. (Full paper peer reviewed)
  2. Heiga Zen, Keiichi Tokuda, and Alan W. Black, ``Statistical parametric speech synthesis,'' Speech Communication, vol. 51, no. 11, pp. 1039-1154, November, 2009. (Full paper peer reviewed) link
  3. Junichi Yamagishi, Takashi Nose, Heiga Zen, Zhen-Hua Ling, Tomoki Toda, Keiichi Tokuda, Simon King, Steve Renals, ``A robust speaker-adaptive HMM-based text-to-speech synthesis,'' IEEE Transactions on Audio, Speech, and Language Processing, vol. 17, no. 6, August, 2009. (Full paper peer reviewed)
  4. Heiga Zen, and Keiichi Tokuda, ``TechWare: HMM-Based Speech Synthesis Resources,'' IEEE Signal Processing Magazine, July, 2009. (Review paper) link
  5. Kiyohiro Shikano , Kazuya Takeda, Tatsuya Kawahara,Hideki Kawahara, Hiroshi Saruwatari, Keiichi Tokuda, Akinobu Lee, Hiromichi Kawanami, Ryuichi Nisimura, Randy Gomez, Tomoki Toda, Takanobu Nishiura, Toru Takahashi, Hideki Banno, Heiga Zen, ``E-Society Software Development Project for Speech Recognition and Synthesis(Technical Report),'' vol. 92, no. 6, June, 2009. (Invited paper) (in Japanese)

International Conference

  1. Heiga Zen, Keiichiro Oura, Takashi Nose, Junichi Yamagishi, Shinji Sako, Tomoki Toda, Takashi Masuko, Alan W. Black, and Keiichi Tokuda, ``Recent development of the HMM-based speech synthesis system (HTS),'' Asia-Pacific Signal and Information Processing Association 2009 Annual Summit and Conference (APSIPA ASC 2009), pp. 121-130, Sapporo, Japan, October, 2009. (Invited session paper) link
  2. Junichi Yamagishi, Bela Usabaev, Simon King, Oliver Watts, John Dines, Jilei Tian, Rile Hu, Yong Guan, Keiichiro Oura, Keiichi Tokuda, Reima Karhila, and Mikko Kurimo ``Thousands of voices for HMM-based speech synthesis,'' Interspeech 2009, pp. 420-423, Brighton, U.K., September 6-10, 2009. (Full paper peer reviewed)
  3. Yi-Jian Wu, Yoshihiko Nankaku, and Keiichi Tokuda, ``State mapping based method for crosslingual speaker adaptation in HMM-based speech synthesis,'' Interspeech 2009, pp. 528-531, Brighton, U.K., September 6-10, 2009. (Full paper peer reviewed) link
  4. Sayaka Shiota, Kei Hashimoto, Yoshihiko Nankaku, and Keiichi Tokuda, ``Deterministic annealing based training algorithm for Bayesian speech recognition,'' Interspeech 2009, pp. 680-683, Brighton, U.K., September 6-10, 2009. (Full paper peer reviewed) link
  5. Kei Hashimoto, Yoshihiko Nankaku, and Keiichi Tokuda, ``A Bayesian approach to hidden Semi-Markov model based speech synthesis,'' Interspeech 2009, pp. 1751-1754, Brighton, U.K., September 6-10, 2009. (Full paper peer reviewed) link
  6. Keiichiro Oura, Heiga Zen, Yoshihiko Nankaku, Akinobu Lee, and Keiichi Tokuda, ``Tying covariance matrices to reduce the footprint of HMM-based speech synthesis systems,'' Interspeech 2009, pp. 1759-1761, Brighton, U.K., September 6-10, 2009. (Full paper peer reviewed)
  7. Ranniery Maia, Tomoki Toda, Keiichi Tokuda, Shinsuke Sakai, and Satoshi Nakamura, ``A decision tree-based clustering approach to state definition in an excitation modeling framework for HMM-based speech synthesis,'' Interspeech 2009, pp. 1783-1786, Brighton, U.K., September 6-10, 2009. (Full paper peer reviewed)
  8. Yi-Jian Wu, Long Qin, and Keiichi Tokuda, ``An improved minimum generation error based model adaptation for HMM-based speech synthesis,'' Interspeech 2009, pp. 1787-1790, Brighton, U.K., September 6-10, 2009. (Full paper peer reviewed) link
  9. Keiichiro Oura, Yi-Jian Wu , and Keiichi Tokuda, ``Overview of NIT HMM-based speech synthesis system for Blizzard Challenge 2009,'' 2009 Blizzard Challenge Workshop, September, 2009 (web proceedings). link
  10. Kei Hashimoto, Hirohumi Yamamoto, Hideo Okuma, Eiichiro Sumita, and Keiichi Tokuda, ``Reordering model using syntactic information of a source tree for statistical machine translation,'' NAACL HLT 2009 Workshop: Third Workshop on Syntax and Structure in Statistical Translation (SSST-3), pp. 69-77, Boulder, Colorado, June, 2009. (Full paper peer reviewed)
  11. Kei Hashimoto, Heiga Zen, Yoshihiko Nankaku, and Keiichi Tokuda, ``A Bayesian approach to HMM-based speech synthesis,'' 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2009), pp. 4029-4032, Taipei, Taiwan, April, 2009. (Full paper peer reviewed) link
  12. Yi-Jian Wu, and Keiichi Tokuda, ``Minimum generation error training by using original spectrum as reference for log spectral distortion measure,'' 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2009), pp. 4013-4016, Taipei, Taiwan, April, 2009. (Full paper peer reviewed) link
  13. Kaori Yutani, Yosuke Uto, Yoshihiko Nankaku, Akinobu Lee, and Keiichi Tokuda, ``Voice conversion based on simultaneous modeling of spectrum and F0,'' 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2009), pp. 3897-3900, Taipei, Taiwan, April, 2009. (Full paper peer reviewed)
  14. Heiga Zen, Yoshihiko Nankaku, and Keiichi Tokuda, ``Stereo-based stochastic noise compensation based on trajectory GMMs,'' 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2009), pp. 4577-4580, Taipei, Taiwan, April, 2009. (Full paper peer reviewed)
  15. Lu Heng, Wu Yi-Jian, Tokuda Keiichi, Dai Li-Rong, and Wang Ren-Hua, ``FULL covariance state duration modeling for HMM-based speech synthesis,'' 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2009), pp. 4033-4036, Taipei, Taiwan, April, 2009. (Full paper peer reviewed) link

Past Publications




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