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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
MVE, IE, WIT, IMQ, CQ
(Joint) [detail]		 2013-03-12
10:35		 Fukuoka Fukuoka Institute of Technology Measurement of Autistic Traits using Non-verbal Communication Skills
Hiroki Tanaka, Sakriani Sakti, Graham Neubig, Tomoki Toda, Satoshi Nakamura (NAIST) IMQ2012-74 IE2012-178 MVE2012-135 WIT2012-84		 In this paper, iPad application NOCOA+ which includes movie data to enhance human communication and socialization in rea... [more] IMQ2012-74 IE2012-178 MVE2012-135 WIT2012-84
pp.223-226
SP 2013-01-30
16:45		 Kyoto Doshisha Univ. F0 contour generation using rich context models in HMM-based speech synthesis
Shinnosuke Takamichi, Tomoki Toda (NAIST), Yoshinori Shiga (NICT), Sakriani Sakti, Graham Neubig, Satoshi Nakamura (NAIST) SP2012-104		 In the traditional HMM-based speech synthesis, generated speech parameters tend to be excessively over-smoothed. To all... [more] SP2012-104
pp.37-42
SP 2012-11-08
11:00		 Miyagi Ichibancho Lobby, Tohoku Institute of Technology Implementation of real-time statistical voice conversion on a DSP
Takuto Moriguchi, Tomoki Toda (NAIST), Motoaki Sano, Hiroshi Sato (FOSTER), Graham Neubig, Sakriani Sakti, Satoshi Nakamura (NAIST) SP2012-73		 Real-time statistical voice conversion is one of promising approach to developing technology for body– conducted s... [more] SP2012-73
pp.7-12
SP 2012-11-08
11:30		 Miyagi Ichibancho Lobby, Tohoku Institute of Technology Intra-speaker spectral parameter variation between utterances of the same sentence and its prediction
Tatsuo Inukai, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura (NAIST) SP2012-74		 In spectral conversion of statistical voice conversion technologies, distance measures between the converted and target ... [more] SP2012-74
pp.13-18
SP 2012-11-08
14:45		 Miyagi Ichibancho Lobby, Tohoku Institute of Technology Improvements of HMM-based speech synthesis using rich context models
Shinnosuke Takamichi, Tomoki Toda (NAIST), Yoshinori Shiga (NICT), Sakriani Sakti, Graham Neubig, Satoshi Nakamura (NAIST) SP2012-78		 In the traditional HMM-based speech synthesis, generated speech parameters tend to be excessively smoothed.
To allevia... [more]		 SP2012-78
pp.37-42
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