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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
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