T
Takashi Masuko
Researcher at Toshiba
Publications - 122
Citations - 6750
Takashi Masuko is an academic researcher from Toshiba. The author has contributed to research in topics: Speech synthesis & Hidden Markov model. The author has an hindex of 37, co-authored 122 publications receiving 6564 citations. Previous affiliations of Takashi Masuko include Nagoya Institute of Technology & Tokyo Institute of Technology.
Papers
More filters
Proceedings ArticleDOI
Speech parameter generation algorithms for HMM-based speech synthesis
TL;DR: A speech parameter generation algorithm for HMM-based speech synthesis, in which the speech parameter sequence is generated from HMMs whose observation vector consists of a spectral parameter vector and its dynamic feature vectors, is derived.
Proceedings Article
Simultaneous Modeling of Spectrum, Pitch and Duration in HMM-Based Speech Synthesis
TL;DR: An HMM-based speech synthesis system in which spectrum, pitch and state duration are modeled simultaneously in a unified framework of HMM is described.
The HMM-based speech synthesis system (HTS) version 2.0.
Heiga Zen,Takashi Nose,Junichi Yamagishi,Shinji Sako,Takashi Masuko,Alan W. Black,Keiichi Tokuda +6 more
TL;DR: This paper describes HTS version 2.0 in detail, as well as future release plans, which include a number of new features which are useful for both speech synthesis researchers and developers.
Proceedings ArticleDOI
Hidden Markov models based on multi-space probability distribution for pitch pattern modeling
TL;DR: A hidden Markov model based on multi-space probability distribution (MSD) can model pitch patterns without heuristic assumption and a reestimation algorithm is derived that can find a critical point of the likelihood function.
Journal Article
Multi-Space Probability Distribution HMM
TL;DR: A new kind of hidden Markov model (HMM) based on multi-space probability distribution is proposed, and a parameter estimation algorithm for the extended HMM is derived, which can model sequences which consist of observation vectors with variable dimensionality and discrete symbols.