Overview - Spoken Document Retrieval 1998

Proceedings | Data | Results | Runs | Participants

Spoken Document Retrieval (SDR) involves the search and retrieval of excerpts from recordings of speech using a combination of automatic speech recognition and information retrieval techniques. In performing SDR, a speech recognition engine is applied to an audio input stream and generates a time-marked textual representation (transcription) of the speech. The transcription is then indexed and may be searched using an information retrieval engine. In traditional information retrieval, a topic (or query) results in a rank-ordered list of documents. In SDR, a topic results in a rank-ordered list of temporal pointers to potentially relevant excerpts. In an operational SDR system, these excerpts could be topical sections of a recording of a conference or radio or television broadcasts.

Track coordinator(s):

• J. Garofolo, National Institute of Standards and Technology (NIST)
• E. Voorhees, National Institute of Standards and Technology (NIST)
• C. Auzanne, National Institute of Standards and Technology (NIST)
• V. Stanford, National Institute of Standards and Technology (NIST)
• B. Lund, National Institute of Standards and Technology (NIST)

Track Web Page: https://trec.nist.gov/data/sdr.html

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