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dc.contributor.authorChen, SHen_US
dc.contributor.authorLai, WHen_US
dc.contributor.authorWang, YRen_US
dc.date.accessioned2014-12-08T15:40:41Z-
dc.date.available2014-12-08T15:40:41Z-
dc.date.issued2003-07-01en_US
dc.identifier.issn1063-6676en_US
dc.identifier.urihttp://dx.doi.org/10.1109/TSA.2003.814377en_US
dc.identifier.urihttp://hdl.handle.net/11536/27760-
dc.description.abstractIn this paper, a new duration modeling approach for Mandarin speech is proposed. It explicitly takes several major affecting factors as multiplicative companding factors (CFs) and estimates all model parameters by an EM algorithm. Besides, the three basic Tone 3 patterns (i.e., full tone, half tone and sandhi tone) are also properly considered via using three different Us to separate their affections on syllable duration. Experimental results showed that the variance of the syllable duration was greatly reduced from 180.17 to 2.52 frame(2) (1 frame =5 ms) by the syllable duration modeling to eliminate effects from those affecting factors. Moreover, the estimated Us of those affecting factors agreed well to our prior linguistic knowledge. Two extensions of the duration modeling method are also performed. One is the use of the same technique to model initial and final durations. The other is to replace the multiplicative model with an additive one. Lastly, a preliminary study of applying the proposed model to predict syllable duration for TTS is also performed. Experimental results showed that it outperformed the conventional regressive prediction method.en_US
dc.language.isoen_USen_US
dc.subjectduration modelingen_US
dc.subjectMandarinen_US
dc.subjecttext-to-speechen_US
dc.titleA new duration modeling approach for Mandarin speechen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/TSA.2003.814377en_US
dc.identifier.journalIEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSINGen_US
dc.citation.volume11en_US
dc.citation.issue4en_US
dc.citation.spage308en_US
dc.citation.epage320en_US
dc.contributor.department電信工程研究所zh_TW
dc.contributor.departmentInstitute of Communications Engineeringen_US
dc.identifier.wosnumberWOS:000184375100002-
dc.citation.woscount13-
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