PUBLICATIONS - 2013

Journal

  1. Keiichi Tokuda, Yoshihiko Nankaku, Tomoki Toda, Heiga Zen, Junichi Yamagishi, and Keiichiro Oura, ``Speech synthesis based on hidden Markov models,'' Proceedings of the IEEE, vol. 101, no. 5, pp. 1234-1252, May, 2013. (Full paper peer reviewed, Invited paper) link
  2. Sayaka Shiota, Kei Hashimoto, Yoshihiko Nankaku, and Keiichi Tokuda, ``A Bayesian framework using multiple model structures for speech recognition,'' IEICE Transactions on Information and Systems, vol. E96-D, No. 4, pp. 939-948, April, 2013. (Full paper peer reviewed) link link
  3. John Dines, Hui Liang, Lakshmi Saheer, Matthew Gibson, William Byrne, Keiichiro Oura, Keiichi Tokuda, Junichi Yamagishi, Simon King, Mirjam Wester, Teemu Hirsimaki, Reima Karhila, and Mikko Kurimo, ``Personalising speech-to-speech translation: unsupervised cross-lingual speaker adaptation for HMM-based speech synthesis,'' Computer Speech and Language, vol. 27, pp. 420-437, February, 2013. (Full paper peer reviewed) link
  4. Keiichiro Oura, Daisuke Yamamoto, Ichi Takumi, Akinobu Lee, and Keiichi Tokuda, ``On-campus, user-participatable, and voice-interactive digital signage,'' The Japanese Society for Artificial Intelligence, vol. 28, no. 1, pp. 60-67, January, 2013. (Invited paper) (in Japanese) link

International Conference

  1. Kei Sawada, Kei Hashimoto, Yoshihiko Nankaku, and Keiichi Tokuda, ``Image recognition based on hidden Markov eigen-image models using variational Bayesian method,'' Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2013), pp. 1-8, Kaohsiung, Taiwan, October, 2013. (Full paper peer reviewed)
  2. Shinji Takaki, Kei Sawada, Kei Hashimoto, Keiichiro Oura, and Keiichi Tokuda, ``Overview of NIT HMM-based speech synthesis system for Blizzard Challenge 2013,'' Blizzard Challenge 2013 Workshop, Barcelona, Spain, September, 2013.
  3. Takenori Yoshimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, and Keiichi Tokuda, ``Cross-lingual speaker adaptation based on factor analysis using bilingual speech data for HMM-based speech synthesis,'' 8th International Symposium on Computer Architecture (ISCA) Speech Synthesis Workshop, pp. 317-322, Lyon, France, August, 2013. (Full paper peer reviewed)
  4. Shinji Takaki, Yoshihiko Nankaku, and Keiichi Tokuda, ``Contextual partial additive structure for HMM-based speech synthesis,'' 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 7878-7882, Vancouver, Canada, May, 2013. (Full paper peer reviewed) link
  5. Kazuhiro Nakamura, Kei Hashimoto, Yoshihiko Nankaku, and Keiichi Tokuda, ``Integration of acoustic modeling and mel-cepstral analysis for HMM-based speech synthesis,'' 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 7883-7887, Vancouver, Canada, May, 2013. (Full paper peer reviewed) link
  6. Takaya Makino, Shinji Takaki, Kei Hashimoto, Yoshihiko Nankaku, and Keiichi Tokuda, ``Separable lattice 2-d HMMs introducing state duration control for recognition of images with various variations,'' 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 3203-3207, Vancouver, Canada, May, 2013. (Full paper peer reviewed)
  7. Akira Tamamori, Yoshihiko Nankaku, and Keiichi Tokuda, ``Image recognition based on separable lattice trajectory HMMs,'' 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 3467-3271, Vancouver, Canada, May, 2013. (Full paper peer reviewed)
  8. Akinobu Lee, Keiichiro Oura, Keiichi Tokuda, ``MMDAgent-A fully open-source tookit for voice iteraction systems,'' 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), pp.8382-8385, Vancouver, Canada, May, 2013. (Full paper peer reviewed) link

Past Publications




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