Retrieval of broadcast news documents with the THISL system
被引:0
作者:
Abberley, D
论文数: 0引用数: 0
h-index: 0
机构:
Univ Sheffield, Dept Comp Sci, Sheffield S10 2TN, S Yorkshire, EnglandUniv Sheffield, Dept Comp Sci, Sheffield S10 2TN, S Yorkshire, England
Abberley, D
[1
]
Renals, S
论文数: 0引用数: 0
h-index: 0
机构:
Univ Sheffield, Dept Comp Sci, Sheffield S10 2TN, S Yorkshire, EnglandUniv Sheffield, Dept Comp Sci, Sheffield S10 2TN, S Yorkshire, England
Renals, S
[1
]
Cook, G
论文数: 0引用数: 0
h-index: 0
机构:
Univ Sheffield, Dept Comp Sci, Sheffield S10 2TN, S Yorkshire, EnglandUniv Sheffield, Dept Comp Sci, Sheffield S10 2TN, S Yorkshire, England
Cook, G
[1
]
机构:
[1] Univ Sheffield, Dept Comp Sci, Sheffield S10 2TN, S Yorkshire, England
来源:
PROCEEDINGS OF THE 1998 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-6
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1998年
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D O I:
暂无
中图分类号:
O42 [声学];
学科分类号:
070206 ;
082403 ;
摘要:
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.