Learning about voice search for spoken dialogue systems

Rebecca J. Passonneau, Susan L. Epstein, Tiziana Ligorio, Joshua B. Gordon, Pravin Bhutada

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Scopus citations

Abstract

In a Wizard-of-Oz experiment with multiple wizard subjects, each wizard viewed automated speech recognition (ASR) results for utterances whose interpretation is critical to task success: requests for books by title from a library database. To avoid non-understandings, the wizard directly queried the application database with the ASR hypothesis (voice search). To learn how to avoid misunderstandings, we investigated how wizards dealt with uncertainty in voice search results. Wizards were quite successful at selecting the correct title from query results that included a match. The most successful wizard could also tell when the query results did not contain the requested title. Our learned models of the best wizard's behavior combine features available to wizards with some that are not, such as recognition confidence and acoustic model scores.

Original languageEnglish (US)
Title of host publicationNAACL HLT 2010 - Human Language Technologies
Subtitle of host publicationThe 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Proceedings of the Main Conference
Pages840-848
Number of pages9
StatePublished - 2010
Event2010 Human Language Technologies Conference ofthe North American Chapter of the Association for Computational Linguistics, NAACL HLT 2010 - Los Angeles, CA, United States
Duration: Jun 2 2010Jun 4 2010

Publication series

NameNAACL HLT 2010 - Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Proceedings of the Main Conference

Other

Other2010 Human Language Technologies Conference ofthe North American Chapter of the Association for Computational Linguistics, NAACL HLT 2010
Country/TerritoryUnited States
CityLos Angeles, CA
Period6/2/106/4/10

All Science Journal Classification (ASJC) codes

  • Language and Linguistics
  • Linguistics and Language

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