@techreport{oai:ipsj.ixsq.nii.ac.jp:00192714,
 author = {Xinyi, Zhao and Nobuaki, Minematsu and Daisuke, Saito and Xinyi, Zhao and Nobuaki, Minematsu and Daisuke, Saito},
 issue = {17},
 month = {Dec},
 note = {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., 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.},
 title = {Automatic Prediction of Symbolic and Sentence-Level Prosody in English for Development of a Reading Tutor},
 year = {2018}
}