State Duration Modeling for HMM-Based Speech Synthesis

Heiga ZEN; Takashi MASUKO; Keiichi TOKUDA; Takayoshi YOSHIMURA; Takao KOBAYASIH; Tadashi KITAMURA

doi:10.1093/ietisy/e90-d.3.692

State Duration Modeling for HMM-Based Speech Synthesis

Heiga ZEN, Takashi MASUKO, Keiichi TOKUDA, Takayoshi YOSHIMURA, Takao KOBAYASIH, Tadashi KITAMURA

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This paper describes the explicit modeling of a state duration's probability density function in HMM-based speech synthesis. We redefine, in a statistically correct manner, the probability of staying in a state for a time interval used to obtain the state duration PDF and demonstrate improvements in the duration of synthesized speech.

Publication: IEICE TRANSACTIONS on Information Vol.E90-D No.3 pp.692-693

Publication Date: 2007/03/01

Publicized

Online ISSN: 1745-1361

DOI: 10.1093/ietisy/e90-d.3.692

Type of Manuscript: LETTER

Category: Speech and Hearing

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Heiga ZEN, Takashi MASUKO, Keiichi TOKUDA, Takayoshi YOSHIMURA, Takao KOBAYASIH, Tadashi KITAMURA, "State Duration Modeling for HMM-Based Speech Synthesis" in IEICE TRANSACTIONS on Information, vol. E90-D, no. 3, pp. 692-693, March 2007, doi: 10.1093/ietisy/e90-d.3.692.
Abstract: This paper describes the explicit modeling of a state duration's probability density function in HMM-based speech synthesis. We redefine, in a statistically correct manner, the probability of staying in a state for a time interval used to obtain the state duration PDF and demonstrate improvements in the duration of synthesized speech.
URL: https://globals.ieice.org/en_transactions/information/10.1093/ietisy/e90-d.3.692/_p

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@ARTICLE{e90-d_3_692,
author={Heiga ZEN, Takashi MASUKO, Keiichi TOKUDA, Takayoshi YOSHIMURA, Takao KOBAYASIH, Tadashi KITAMURA, },
journal={IEICE TRANSACTIONS on Information},
title={State Duration Modeling for HMM-Based Speech Synthesis},
year={2007},
volume={E90-D},
number={3},
pages={692-693},
abstract={This paper describes the explicit modeling of a state duration's probability density function in HMM-based speech synthesis. We redefine, in a statistically correct manner, the probability of staying in a state for a time interval used to obtain the state duration PDF and demonstrate improvements in the duration of synthesized speech.},
keywords={},
doi={10.1093/ietisy/e90-d.3.692},
ISSN={1745-1361},
month={March},}

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TY - JOUR
TI - State Duration Modeling for HMM-Based Speech Synthesis
T2 - IEICE TRANSACTIONS on Information
SP - 692
EP - 693
AU - Heiga ZEN
AU - Takashi MASUKO
AU - Keiichi TOKUDA
AU - Takayoshi YOSHIMURA
AU - Takao KOBAYASIH
AU - Tadashi KITAMURA
PY - 2007
DO - 10.1093/ietisy/e90-d.3.692
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E90-D
IS - 3
JA - IEICE TRANSACTIONS on Information
Y1 - March 2007
AB - This paper describes the explicit modeling of a state duration's probability density function in HMM-based speech synthesis. We redefine, in a statistically correct manner, the probability of staying in a state for a time interval used to obtain the state duration PDF and demonstrate improvements in the duration of synthesized speech.
ER -