2011年
Detection of task-incomplete dialogs based on utterance-and-behavior tag N-gram for spoken dialog systems
Proceedings of INTERSPEECH 2011
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- 開始ページ
- 1312
- 終了ページ
- 1315
- 記述言語
- 英語
- 掲載種別
- 研究論文(国際会議プロシーディングス)
- 出版者・発行元
- ISCA-INT SPEECH COMMUNICATION ASSOC
We propose a method of detecting "task incomplete" dialogs in spoken dialog systems using N-gram-based dialog models. We used a database created during a field test in which inexperienced users used a client-server music retrieval system with a spoken dialog interface on their own PCs. In this study, the dialog for a music retrieval task consisted of a sequence of user and system tags that related their utterances and behaviors. The dialogs were manually classified into two classes: the dialog either completed the music retrieval task or it didn't. We then detected dialogs that did not complete the task, using N-gram probability models or a Support Vector Machine with N-gram feature vectors trained using manually classified dialogs. Off-line and on-line detection experiments were conducted on a large amount of real data, and the results show that our proposed method achieved good classification performance.
- リンク情報
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- DBLP
- https://dblp.uni-trier.de/rec/conf/interspeech/HaraKT11
- Web of Science
- https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000316502200330&DestApp=WOS_CPL
- URL
- http://dblp.uni-trier.de/db/conf/interspeech/interspeech2011.html#conf/interspeech/HaraKT11
- URL
- http://www.isca-speech.org/archive/interspeech_2011/i11_1305.html
- ID情報
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- DBLP ID : conf/interspeech/HaraKT11
- Web of Science ID : WOS:000316502200330