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タイトル: A concatenative speech synthesis for monosyllabic languages with limited data
著者: Phung, Trung-Nghia
Luong, Mai Chi
Akagi, Masato
発行日: 2012-12
出版者: Institute of Electrical and Electronics Engineers (IEEE)
誌名: 2012 Asia-Pacific Signal & Information Processing Association Annual Summit and Conference (APSIPA ASC)
開始ページ: 1
終了ページ: 10
抄録: Quality of unit-based concatenative speech synthesis is low while that of corpus-based concatenative speech synthesis with unit selection is great natural. However, unit selection requires a huge data for concatenation that reduces the range of its applications. In this paper, by using temporal decomposition for modeling contextual effects intra-syllable and inter-syllables, we propose a context-fitting unit modification method and a context-matching unit selection method. The two proposed context-specific methods are used in our proposed syllable-based concatenative speech synthesis applied for monosyllabic languages. The experimental results with a Vietnamese speech synthesis using a small corpus support that the proposed methods are efficient. As a consequence, the naturalness and intelligibility of the proposed speech synthesis is high even when we have only limited data for concatenation.
Rights: This is the author's version of the work. Copyright (C) 2012 IEEE. 2012 Asia-Pacific Signal & Information Processing Association Annual Summit and Conference (APSIPA ASC), 2012, 1-10. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6411772 Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
URI: http://hdl.handle.net/10119/11508
資料タイプ: author
出現コレクション:b11-1. 会議発表論文・発表資料 (Conference Papers)

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