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Committee Date Time Place Paper Title / Authors Abstract Paper #
(Joint) [detail]
Tokyo Waseda Univ. Nishiwaseda Campus Speech analysis and synthesis using genetic algorithm and Fujisaki model
Tomio Takara (Univ. Ryukyus), Ryoichi Eto (Inter. Sys.) SP2018-50
We propose a model of infant’s word acquisition by speech mimicking. We use vowel space parameter representing a gesture... [more] SP2018-50
(Joint) [detail]
Tokyo NTT Musashino R&D [Poster Presentation] Fast algorithm for statistical phrase/accent command estimation based on generative model incorporating spectral features
Ryotaro Sato (The Univ. of Tokyo), Hirokazu Kameoka, Kunio Kashino (NTT) SP2016-56
On the basis of the Fujisaki model, we propose a fast algorithm for estimating the model parameters, namely, the timings... [more] SP2016-56
EA, SP, SIP 2016-03-29
Oita Beppu International Convention Center B-ConPlaza Product-of-Experts approach to integration of F0 generative process model to statistical F0 prediction for electrolaryngeal speech enhancement
Kou Tanaka (NAIST), Hirokazu Kameoka (NTT), Tomoki Toda (The University of Nagoya/NAIST), Satoshi Nakamura (NAIST) EA2015-133 SIP2015-182 SP2015-161
We have previously proposed a statistical fundamental frequency (F0) prediction method that makes it possible to predict... [more] EA2015-133 SIP2015-182 SP2015-161
SP, IPSJ-MUS 2014-05-25
Tokyo   Text-to-speech prosody synthesis based on probabilistic model for F0 contour
Kento Kadowaki, Tatsuma Ishihara, Nobukatsu Hojo (Univ. of Tokyo), Hirokazu Kameoka (Univ. of Tokyo/NTT) SP2014-28
This paper deals with the problem of generating the fundamental frequency (F0) contour of speech from a text input for t... [more] SP2014-28
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