音声対話での話者交替/継続の予測における韻律情報の有効性 Prediction of Turn-Taking from Prosody in Spontaneous Dialogue

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In this study, we investigated the relationship between turn-taking and prosody. We considered that to interact smoothly in real-time communication, speakers must show presignals to turn-taking as prosodic features before turn edges. We attempted to discriminate the turn change by the decision tree method using only prosodic features in turn-final accentual phrases that include earlier positions compared with turn-final mora. In the discrimination experiment, we used the corpus of Japanese spontaneous dialogue, and defined prosodic parameters such as F0 contour, power contour and duration. We compared the two parameter conditions for using parameters with and without the final mora of turns. From the results, the accuracy under the conditions of not using the parameters of the final mora is 80%, which is not significantly worse than the result of 83% when using all parameters. Taking into account only prosody was used, we consider this result to be fairly good.

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  • 人工知能学会論文誌 = Transactions of the Japanese Society for Artificial Intelligence : AI

    人工知能学会論文誌 = Transactions of the Japanese Society for Artificial Intelligence : AI 21, 1-8, 2006-11-01

    The Japanese Society for Artificial Intelligence

参考文献:  24件中 1-24件 を表示

被引用文献:  17件中 1-17件 を表示

各種コード

  • NII論文ID(NAID)
    10022005785
  • NII書誌ID(NCID)
    AA11579226
  • 本文言語コード
    JPN
  • 資料種別
    ART
  • ISSN
    13460714
  • NDL 記事登録ID
    8686342
  • NDL 雑誌分類
    ZM13(科学技術--科学技術一般--データ処理・計算機)
  • NDL 請求記号
    Z74-C589
  • データ提供元
    CJP書誌  CJP引用  NDL  J-STAGE 
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