Search Contact information
University of Cambridge Home Department of Engineering
University of Cambridge > Engineering Department > Machine Intelligence Lab

Abstract for tuerk_sigir00demo

Proc. ACM SIGIR 2000, Athens, Greece.

THE CAMBRIDGE UNIVERSITY MULTIMEDIA DOCUMENT RETRIEVAL DEMO SYSTEM

A. Tuerk, S.E. Johnson, P. Jourlin, K. Sparck Jones and P.C. Woodland

July 2000

This paper describes the CU-MDR demo system. The CU-MDR Demo is a web based application that allows the user to query a database of automatically generated transcripts of radio broadcasts that are available on-line. The system downloads the audio track of British and American news broadcasts from the Internet once a day and adds them to its archive. The audio, which comes in RealAudio format, is first converted into standard uncompressed format from which a transcription is produced using our large vocabulary broadcast news recognition engine. This yields a collection of text and audio documents which can be searched by the user.


| (ftp:) tuerk_sigir00demo.ps.gz | (http:) tuerk_sigir00demo.ps.gz | (ftp:) tuerk_sigir00demo.pdf | (http:) tuerk_sigir00demo.pdf | (http:) tuerk_sigir00demo.html/ |

If you have difficulty viewing files that end '.gz', which are gzip compressed, then you may be able to find tools to uncompress them at the gzip web site.

If you have difficulty viewing files that are in PostScript, (ending '.ps' or '.ps.gz'), then you may be able to find tools to view them at the gsview web site.

We have attempted to provide automatically generated PDF copies of documents for which only PostScript versions have previously been available. These are clearly marked in the database - due to the nature of the automatic conversion process, they are likely to be badly aliased when viewed at default resolution on screen by acroread.

© 2005 Cambridge University Engineering Dept
Information provided by milab-maintainer