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Access to News Audio User Interaction in Speech Retrieval Systems

Access to News Audio User Interaction in Speech Retrieval Systems. by Jinmook Kim and Douglas W. Oard. May 31, 2002 19th Annual Symposium and Open House Human-Computer Interaction Lab University of Maryland. Research Questions.

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Access to News Audio User Interaction in Speech Retrieval Systems

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  1. Access to News AudioUser Interaction in Speech Retrieval Systems by Jinmook Kim and Douglas W. Oard May 31, 2002 19th Annual Symposium and Open House Human-Computer Interaction Lab University of Maryland

  2. Research Questions • What relevance criteria do searchers rely on when selecting spoken word materials? 2. What attributes of the recordings do searchers use as a basis for assessing relevance?

  3. Search Systems • NPR Online • Manually prepared transcripts • Human cataloging • SpeechBot • Automatic Speech Recognition • Automatic indexing

  4. NPR Online

  5. SpeechBot

  6. Qualitative Study Design • 5 students in a graduate seminar on Visual and Sound Materials • Searched both systems • 3 started with NPR, 2 with SpeechBot • Three search topics • Two given by the investigator • One developed by the participant

  7. Data Collection • Observation • Think-aloud • Semi-structured interview

  8. Findings: Relevance Criteria

  9. Findings: Attributes

  10. Some Takeaway Messages • Recognition errors may not bother the system, but they do bother the user! • Segment-level indexing can help to provide effective access http://www.glue.umd.edu/~jinmook

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