| Item type |
SIG Technical Reports(1) |
| 公開日 |
2018-12-03 |
| タイトル |
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|
タイトル |
Automatic Prediction of Symbolic and Sentence-Level Prosody in English for Development of a Reading Tutor |
| タイトル |
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言語 |
en |
|
タイトル |
Automatic Prediction of Symbolic and Sentence-Level Prosody in English for Development of a Reading Tutor |
| 言語 |
|
|
言語 |
eng |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
学生ポスターセッション |
| 資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_18gh |
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資源タイプ |
technical report |
| 著者所属 |
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The University of Tokyo |
| 著者所属 |
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The University of Tokyo |
| 著者所属 |
|
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The University of Tokyo |
| 著者所属(英) |
|
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en |
|
|
The University of Tokyo |
| 著者所属(英) |
|
|
|
en |
|
|
The University of Tokyo |
| 著者所属(英) |
|
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|
en |
|
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The University of Tokyo |
| 著者名 |
Xinyi, Zhao
Nobuaki, Minematsu
Daisuke, Saito
|
| 著者名(英) |
Xinyi, Zhao
Nobuaki, Minematsu
Daisuke, Saito
|
| 論文抄録 |
|
|
内容記述タイプ |
Other |
|
内容記述 |
In English education, speech synthesis technologies can be effectively used to develop a reading tutor to show students how to read given sentences in a natural and native way. The tutor can not only provide native-like audio of the input sentences but also visualize required prosodic structure to read those sentences aloud naturally. As the first step to develop such a reading tutor, prosodic events that can imply the intonation of the sentence need to be predicted from plain text. In this research, phrase boundary and 4-level stress instead of the traditional binary stress level are taken into consideration as prosodic events. 4-level stress labels not only categorize syllables into stressed ones and unstressed ones, but also indicate where phrase stress and sentence stress should appear in a sentence. Conditional Random Fields as a popular sequence labeling method are employed to do the prediction work. Experiments showed that applying our proposed method can improve the performance of prosody prediction compared to previous researches. |
| 論文抄録(英) |
|
|
内容記述タイプ |
Other |
|
内容記述 |
In English education, speech synthesis technologies can be effectively used to develop a reading tutor to show students how to read given sentences in a natural and native way. The tutor can not only provide native-like audio of the input sentences but also visualize required prosodic structure to read those sentences aloud naturally. As the first step to develop such a reading tutor, prosodic events that can imply the intonation of the sentence need to be predicted from plain text. In this research, phrase boundary and 4-level stress instead of the traditional binary stress level are taken into consideration as prosodic events. 4-level stress labels not only categorize syllables into stressed ones and unstressed ones, but also indicate where phrase stress and sentence stress should appear in a sentence. Conditional Random Fields as a popular sequence labeling method are employed to do the prediction work. Experiments showed that applying our proposed method can improve the performance of prosody prediction compared to previous researches. |
| 書誌レコードID |
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収録物識別子タイプ |
NCID |
|
収録物識別子 |
AN10442647 |
| 書誌情報 |
研究報告音声言語情報処理（SLP）
巻 2018-SLP-125,
号 17,
p. 1-4,
発行日 2018-12-03
|
| ISSN |
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収録物識別子タイプ |
ISSN |
|
収録物識別子 |
2188-8663 |
| Notice |
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SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc. |
| 出版者 |
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言語 |
ja |
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出版者 |
情報処理学会 |
IPSJ-SLP18125017.pdf (650.5 kB)
