Probabilistic Aspects in Spoken Document Retrieval

Wolfgang Macherey, Hans Jörg Viechtbauer, Hermann Ney
2003 EURASIP Journal on Advances in Signal Processing  
Accessing information in multimedia databases encompasses a wide range of applications in which spoken document retrieval (SDR) plays an important role. In SDR, a set of automatically transcribed speech documents constitutes the files for retrieval, to which a user may address a request in natural language. This article deals with two probabilistic aspects in SDR. The first part investigates the effect of recognition errors on retrieval performance and inquires the question, why recognition
more » ... rs have only a little effect on the retrieval performance. In the second part, we present a new probabilistic approach to SDR that is based on interpolations between document representations. Experiments performed on the TREC-7 and TREC-8 SDR task show comparable or even better results for the new proposed method than other advanced heuristic and probabilistic retrieval metrics.
doi:10.1155/s1110865703210088 fatcat:sgmmkygn7zcvznu4wd4antp6qu