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An Analysis of Machine Translation and Speech Synthesis in Speech-To-Speech Translation System
https://nitech.repo.nii.ac.jp/records/3464
https://nitech.repo.nii.ac.jp/records/3464e42e1013-5100-486d-a1a4-5725f55e27a7
名前 / ファイル | ライセンス | アクション |
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本文_fulltext (109.0 kB)
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c 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redision to servers or lists, or reuse of any copyrighted components of this work in other works.
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Item type | 会議発表論文 / Conference Paper(1) | |||||
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公開日 | 2012-11-07 | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | An Analysis of Machine Translation and Speech Synthesis in Speech-To-Speech Translation System | |||||
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× Yamagishi, Junichi× Byrne, William× King, Simon× 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 | 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 |
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2011. p. 5108-5111, 発行日 2011-05-22 |
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出版者 | ||||||
出版者 | Institute of Electrical and Electronics Engineers | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 15206149 | |||||
著者版フラグ | ||||||
出版タイプ | AM | |||||
出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||
DOI | ||||||
関連タイプ | isVersionOf | |||||
識別子タイプ | DOI | |||||
関連識別子 | http://dx.doi.org/10.1109/ICASSP.2011.5947506 | |||||
関連名称 | 10.1109/ICASSP.2011.5947506 | |||||
内容記述 | ||||||
内容記述タイプ | Other | |||||
内容記述 | This paper provides an analysis of the impacts of machine translation and speech synthesis on speech-to-speech translation systems. The speech-to-speech translation system consists of three components: speech recognition, machine translation and speech synthesis. Many techniques for integration of speech recognition and machine translation have been proposed. However, speech synthesis has not yet been considered. Therefore, in this paper, we focus on machine translation and speech synthesis, and report a subjective evaluation to analyze the impact of each component. The results of these analyses show that the naturalness and intelligibility of synthesized speech are strongly affected by the fluency of the translated sentences. | |||||
内容記述 | ||||||
内容記述タイプ | Other | |||||
内容記述 | Prague, Czech May 22-27, 2011 | |||||
フォーマット | ||||||
内容記述タイプ | Other | |||||
内容記述 | application/pdf |