This paper presents work done at Cambridge University for the TREC-9 Spoken Document Retrieval (SDR) track. The CUHTK transcriptions from TREC-8 with Word Error Rate (WER) of 20.5...
Sue E. Johnson, P. Jourlin, Karen Sparck Jones, Ph...
This paper describes our participation in the TREC-9 Spoken Document Retrieval (SDR) track. The THISL SDR system consists of a realtime version of a hybrid connectionist/HMM large...
In this paper we describe the LIMSI Spoken Document Retrieval system used in the TREC-9 evaluation. This system combines an adapted version of the LIMSI 1999 Hub-4E transcription ...
Jean-Luc Gauvain, Lori Lamel, Claude Barras, Gille...
This paper presents work done at Cambridge University, on the TREC7 Spoken Document Retrieval (SDR) Track. The broadcast news audio was transcribed using a 2-pass gender-dependent...
Sue E. Johnson, P. Jourlin, G. L. Moore, Karen Spa...
The current expansion in collections of natural language based digital documents in various media and languages is creating challenging opportunities for automatically accessing t...