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» State Duration Modeling for HMM-Based Speech Synthesis
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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...
IEICET
2007
59views more  IEICET 2007»
13 years 4 months ago
State Duration Modeling for HMM-Based Speech Synthesis
Heiga Zen, Takashi Masuko, Keiichi Tokuda, Takayos...
INTERSPEECH
2010
12 years 11 months ago
Synthesis of fast speech with interpolation of adapted HSMMs and its evaluation by blind and sighted listeners
In this paper we evaluate a method for generating synthetic speech at high speaking rates based on the interpolation of hidden semi-Markov models (HSMMs) trained on speech data re...
Michael Pucher, Dietmar Schabus, Junichi Yamagishi
TASLP
2002
96views more  TASLP 2002»
13 years 4 months ago
MAP speaker adaptation of state duration distributions for speech recognition
This paper presents a framework for maximum a posteriori (MAP) speaker adaptation of state duration distributions in hidden Markov models (HMM). Four key issues of MAP estimation, ...
Néstor Becerra Yoma, Jorge Silva Sán...
SETN
2010
Springer
13 years 11 months ago
Feature Selection for Improved Phone Duration Modeling of Greek Emotional Speech
In the present work we address the problem of phone duration modeling for the needs of emotional speech synthesis. Specifically, relying on ten well known machine learning techniqu...
Alexandros Lazaridis, Todor Ganchev, Iosif Mporas,...