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Bayesian Speech Synthesis Framework Integrating Training and Synthesis Processes
https://nitech.repo.nii.ac.jp/records/3412
https://nitech.repo.nii.ac.jp/records/3412c4986be3-847a-40ad-97c9-d564b23130a7
名前 / ファイル | ライセンス | アクション |
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本文_fulltext (196.6 kB)
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Item type | 会議発表論文 / Conference Paper(1) | |||||
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公開日 | 2012-07-05 | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | Bayesian Speech Synthesis Framework Integrating Training and Synthesis Processes | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_5794 | |||||
資源タイプ | conference paper | |||||
著者 |
Hashimoto, Kei
× Hashimoto, Kei× 南角, 吉彦× Tokuda, Keiichi |
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著者別名 | ||||||
姓名 | 橋本, 佳 | |||||
著者別名 | ||||||
言語 | en | |||||
言語 | ja | |||||
言語 | ja-Kana | |||||
姓名 | Nankaku, Yoshihiko | |||||
言語 | en | |||||
姓名 | 南角, 吉彦 | |||||
言語 | ja | |||||
姓名 | ナンカク, ヨシヒコ | |||||
言語 | ja-Kana | |||||
著者別名 | ||||||
言語 | en | |||||
言語 | ja | |||||
言語 | ja-Kana | |||||
姓名 | Tokuda, Keiichi | |||||
言語 | en | |||||
姓名 | 徳田, 恵一 | |||||
言語 | ja | |||||
姓名 | トクダ, ケイイチ | |||||
言語 | ja-Kana | |||||
書誌情報 |
SSW7 The Seventh ISCA Tutorial and Research Workshop (ITRW) on Speech Synthesis p. 106-111, 発行日 2010 |
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出版者 | ||||||
出版者 | International Speech Communication Association | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 16808908 | |||||
著者版フラグ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
内容記述 | ||||||
内容記述タイプ | Other | |||||
内容記述 | This paper proposes a speech synthesis technique integrating training and synthesis processes based on the Bayesian framework. In the Bayesian speech synthesis, all processes are derived from one single predictive distribution which represents the problem of speech synthesis directly. However, it typically assumes that the posterior distribution of model parameters is independent of synthesis data, and this separates the system into training and synthesis parts. This paper removes the approximation and derives an algorithm that the posterior distributions, decision trees and synthesis data are iteratively updated. Experimental results show that the proposed method improves the quality of synthesized speech. | |||||
内容記述 | ||||||
内容記述タイプ | Other | |||||
内容記述 | NICT/ATR, Kyoto, Japan, September 22-24, 2010 | |||||
フォーマット | ||||||
内容記述タイプ | Other | |||||
内容記述 | application/pdf |