{"id":165257,"date":"2013-08-01T00:00:00","date_gmt":"2013-08-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/continuously-predicting-and-processing-barge-in-during-a-live-spoken-dialogue-task\/"},"modified":"2018-10-16T21:53:46","modified_gmt":"2018-10-17T04:53:46","slug":"continuously-predicting-and-processing-barge-in-during-a-live-spoken-dialogue-task","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/continuously-predicting-and-processing-barge-in-during-a-live-spoken-dialogue-task\/","title":{"rendered":"Continuously Predicting and Processing Barge-in During a Live Spoken Dialogue Task"},"content":{"rendered":"<div class=\"asset-content\">\n<p>Barge-in enables the user to provide input during system speech, facilitating a more natural and efficient interaction. Standard methods generally focus on single-stage barge-in detection, applying the dialogue policy irrespective of the barge-in context. Unfortunately, this approach performs poorly when used in challenging environments. We propose and evaluate a barge-in processing method that uses a prediction strategy to continuously decide whether to pause, continue, or resume the prompt. This model has greater task success and efficiency than the standard approach when evaluated in a public spoken dialogue system.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Barge-in enables the user to provide input during system speech, facilitating a more natural and efficient interaction. Standard methods generally focus on single-stage barge-in detection, applying the dialogue policy irrespective of the barge-in context. Unfortunately, this approach performs poorly when used in challenging environments. We propose and evaluate a barge-in processing method that uses a [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"Association for Computational Linguistics","msr_publisher_other":"","msr_booktitle":"Proceedings of the SIGDIAL 2013 Conference, Metz, France","msr_chapter":"","msr_edition":"Proceedings of the SIGDIAL 2013 Conference, Metz, France","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"Proceedings of the SIGDIAL 2013 Conference, Metz, France","msr_doi":"","msr_arxiv_id":"","msr_s2_paper_id":"","msr_mag_id":"","msr_pubmed_id":"","msr_other_authors":"Ethan O. 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