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» A Speech Parameter Generation Algorithm Considering Global V...
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ICASSP
2009
IEEE
13 years 11 months ago
Trajectory training considering global variance for HMM-based speech synthesis
This paper presents a novel method for training hidden Markov models (HMMs) for use in HMM-based speech synthesis. The primary goal of HMM parameter optimization is to ensure that...
Tomoki Toda, Steve Young
ICASSP
2011
IEEE
12 years 8 months ago
Global variance modeling on frequency domain delta LSP for HMM-based speech synthesis
The speech parameter generation algorithm considering global variance (GV) for HMM-based speech synthesis proved to be effective against the over-smoothing problem. However, the c...
Shifeng Pan, Yoshihiko Nankaku, Keiichi Tokuda, Ji...
ICASSP
2009
IEEE
13 years 11 months ago
Probablistic modelling of F0 in unvoiced regions in HMM based speech synthesis
HMM based synthesis has attracted great interest due to its compact and flexible modelling of spectral and prosodic parameters. In this approach, short term spectra, fundamental ...
Kai Yu, Tomoki Toda, Milica Gasic, Simon Keizer, F...
ICASSP
2011
IEEE
12 years 8 months ago
Accurate parameter generation using fixed-point arithmetic for embedded HMM-based speech synthesizers
Parameter trajectory generation for HMM-based speech synthesis is practically achieved using only fixed-point arithmetic with 32-bit integers. Since processors for embedded devic...
Nobuyuki Nishizawa, Tsuneo Kato