Retrieval of broadcast news documents with the THISL system

This paper describes a spoken document retrieval system, combining the ABBOT large vocabulary continuous speech recognition (LVCSR) system developed by Cambridge University, Sheffield University and SoftSound, and the PRISE information retrieval engine developed by NIST. The system was constructed t...

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Main Authors: Abberley, D., Renals, S., Cook, G.
Format: Conference Proceeding
Language:English
Subjects:
Broadcasting
Computer science
Decoding
Error analysis
Hidden Markov models
Indexing
Information retrieval
NIST
Speech recognition
Vocabulary
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creator Abberley, D.
Renals, S.
Cook, G.
description This paper describes a spoken document retrieval system, combining the ABBOT large vocabulary continuous speech recognition (LVCSR) system developed by Cambridge University, Sheffield University and SoftSound, and the PRISE information retrieval engine developed by NIST. The system was constructed to enable us to participate in the TREC 6 Spoken Document Retrieval experimental evaluation. Our key aims in this work were to produce a complete system for the SDR task, to investigate the effect of a word error rate of 30-50% on retrieval performance and to investigate the integration of LVCSR and word spotting in a retrieval task.
doi_str_mv 10.1109/ICASSP.1998.679707
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ispartof Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181), 1998, Vol.6, p.3781-3784 vol.6
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2379-190X
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Broadcasting
Computer science
Decoding
Error analysis
Hidden Markov models
Indexing
Information retrieval
NIST
Speech recognition
Vocabulary
title Retrieval of broadcast news documents with the THISL system
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