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The TREC Spoken Document Retrieval Track: A Success Story

Published

Author(s)

John S. Garofolo, C G. Auzanne, Ellen M. Voorhees

Abstract

This paper describes work within the NIST Text REtrieval Conference (TREC) over the last three years in designing and implementing evaluations of Spoken Document Retrieval (SDR) technology within a broadcast news domain. SDR involves the search and retrieval of excerpts from spoken audio recordings using a combination of automatic speech recognition and information retrieval technologies. The TREC SDR Track has provided an infrastructure for the development and evaluation of SDR technology and a common forum for the exchange of knowledge between the speech recognition and information retrieval research communities. The SDR Track can be declared a success in that it has provided objective, demonstrable proof that this technology can be successfully applied to realistic audio collections using a combination of existing technologies and that it can be objectively evaluated. The design and implementation of each of the SDR evaluations are presented and the results are summarized. Plans for the 2000 TREC SDR Track are presented and thoughts about how the track might evolve are discussed.
Proceedings Title
RIAO-2000 Content-Based Multimedia Information Access
Volume
1
Conference Dates
April 12-14, 2000
Conference Location
Paris, FR
Conference Title
Content-Based Multimedia Information Access

Keywords

audio, broadcast, document, indexing, multimedia, news, recognition, retrieval, spoken

Citation

Garofolo, J. , Auzanne, C. and Voorhees, E. (2000), The TREC Spoken Document Retrieval Track: A Success Story, RIAO-2000 Content-Based Multimedia Information Access, Paris, FR, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=151484 (Accessed July 14, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created April 1, 2000, Updated February 17, 2017