Probabilistic speech F0 contour model incorporating statistical vocabulary model of phrase-accent command sequence

被引：0
|
作者：
Ishihara, Tatsuma [1 ]
Kameoka, Hirokazu [1 ,2 ]
Yoshizato, Kota [1 ]
Saito, Daisuke [1 ]
Sagayama, Shigeki [1 ]
机构：
[1] Univ Tokyo, Grad Sch Informat Sci & Technol, Tokyo, Japan
[2] NTT Corp, NTT Commun Sci Labs, Tokyo, Japan
来源：
14TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2013), VOLS 1-5 | 2013年
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D O I：
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中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We have previously proposed a generative model of speech F-0 contours, based on the discrete-time version of the Fujisaki model (a model of the mechanisim for controlling F(0)s through laryngeal muscles). One advantage of this model is that it allows us to apply statistical methods to estimate the Fujisaki-model parameters from speech F-0 contours. This paper proposes a new generative model of speech F-0 contours incorporating a vocabulary model of intonation patterns. A parameter inference algorithm for the present model is derived. We quantitatively evaluated the performance of our parameter inference algorithm.
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页码：1016 / 1020
页数：5
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