Prediction of Turn-Taking from Prosody in Spontaneous Dialogue
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- Ohsuga Tomoko
- Graduate School of Science and Technology, Chiba University
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- Horiuchi Yasuo
- Graduate School of Science and Technology, Chiba University
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- Nishida Masafumi
- Graduate School of Science and Technology, Chiba University
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- Ichikawa Akira
- Graduate School of Science and Technology, Chiba University
Bibliographic Information
- Other Title
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- 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
- オンセイ タイワ デ ノ ワシャ コウタイ ケイゾク ノ ヨソク ニ オケル インリツ ジョウホウ ノ ユウコウセイ
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Description
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.
Journal
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- Transactions of the Japanese Society for Artificial Intelligence
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Transactions of the Japanese Society for Artificial Intelligence 21 1-8, 2006
The Japanese Society for Artificial Intelligence
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Keywords
Details 詳細情報について
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- CRID
- 1390282680084195200
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- NII Article ID
- 10022005785
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- NII Book ID
- AA11579226
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- ISSN
- 13468030
- 13460714
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- NDL BIB ID
- 8686342
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL Search
- Crossref
- CiNii Articles
- KAKEN
- OpenAIRE
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- Abstract License Flag
- Disallowed