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  • Research Article
  • Open Access

Probabilistic Aspects in Spoken Document Retrieval

  • 1Email author,
  • 1 and
  • 1
EURASIP Journal on Advances in Signal Processing20032003:863836

  • Received: 8 April 2002
  • Published:


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 paper deals with two probabilistic aspects in SDR. The first part investigates the effect of recognition errors on retrieval performance and inquires the question of why recognition errors 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.


  • spoken document retrieval
  • error analysis
  • probabilistic retrieval metrics

Authors’ Affiliations

Lehrstuhl für Informatik VI, Computer Science Department, RWTH Aachen, University of Technology, Aachen, D-52056, Germany


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