RETRIEVAL SYSTEM DaveAbberley ( 1 ) , DavidKirby ( 2 ) , SteveRenals ( 1 ) andTonyRobinson ( 3 ) ( 1 )
This paper described the THISL spoken document retrieval system for British and North American Broadcast News. The system is based on the ABBOT large vocabulary speech recognizer, using a recurrent network acoustic model, and a probabilistic text retrieval system. We discuss the development of a realtime British En-glish Broadcast News system, and its integration into a spoken document retrieval system. Detailed evaluation is performed using a similar North American Broadcast News system, to take advantage of the TREC SDR evaluation methodology. We report results on this evaluation , with particular reference to the effect of query expansion and of automatic segmentation algorithms.