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Dialog Studio: An Example Based Spoken Dialog System Development Workbench

Dialog Studio: An Example Based Spoken Dialog System Development Workbench. Sangkeun Jung, Cheongjae Lee, Gary Geunbae Lee 2006 ISoft POSTECH. Motivation – “Old model doesn’t work for information change ”. We have been developing Spoken dialog system for

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Dialog Studio: An Example Based Spoken Dialog System Development Workbench

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  1. Dialog Studio: An Example Based Spoken Dialog System Development Workbench Sangkeun Jung, Cheongjae Lee, Gary Geunbae Lee 2006 ISoft POSTECH

  2. Motivation – “Old model doesn’t work for information change” • We have been developing • Spoken dialog system for • EPG (Electronic Program Guide) for digital TV. • It involves • Information entities changing every day! • New dialog pattern! DialogSystemChain Recognition Understanding Management • It means • Old – Recognition Model • Old – Understanding Model • Old – Management Model Don’tWork !! 2006 ISoft

  3. Issue One – “System tutoring” • We need to tutor system • To handle new dialog situation. • “I want to watch [drama] [Hae-Sin] around [9 pm]” • “[Drama] at [11 pm], I want to watch [X-file]” • Typical Method : • Making new rules • Rebuilding new dictionary … • Proposed Method • Simply adding new dialog examples • Example Based Dialog Modeling • [Lee et al, ASRU 2005], [Lee et al, ICASSP 2006] • It upgrades • Management Model DialogSystemChain Recognition Understanding Management 2006 ISoft

  4. Issue Two – “Model Harmonizing” (1) Recognition Understanding Management • It should be the same • What we recognize • What we understand • What we manage • ASR should be able to recognize • all utterances which are related to TV-schedule DB • “I want to watch [drama] [Hae-Sin] around [9 pm]” • “I want to watch [movie] [Monster] around [11 pm]” • “I want to watch [sports] [Basketball] around [7 pm]” • ….. • SLU should be able to extract information from all utterance instances. 2006 ISoft

  5. Issue Two – “Model Harmonizing” (2) • We proposed • DUP (Dialog Utterance Pool) Generation • Automatically generated dialog candidates • External knowledge added dialog utterance building ExternalKnowledge IEModule WEB + DialogSystemChain Understanding Management Recognition 2006 ISoft

  6. Issue Three – “Human Efforts & Time Reduction” • New dialog example Tagging • Supported by the System using old model. • DUP automatically generated. • Administrator can audit DUP and modify it. • ASR, SLU model are automatically trained New Dialog Utterance Display handling Result. Old-Dialog Manager tries to handle it Human Audit & modify the result Dialog Example Editing Recommendation User Generation/Approval Dialog Utterance Pool(Automatically generated example candidates) New Corpus Generation Example-DB Indexing Generation ASRModel SLUModel Example-basedDM Model 2006 ISoft

  7. Screen Shot Dialog Example Adding 2006 ISoft

  8. Screen Shot External DB Importing 2006 ISoft

  9. Screen Shot DUP Generation 2006 ISoft

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