- Research Article
- Published:
Probabilistic Aspects in Spoken Document Retrieval
EURASIP Journal on Advances in Signal Processing volume 2003, Article number: 863836 (2003)
Abstract
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.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Macherey, W., Viechtbauer, H.J. & Ney, H. Probabilistic Aspects in Spoken Document Retrieval. EURASIP J. Adv. Signal Process. 2003, 863836 (2003). https://doi.org/10.1155/S1110865703210088
Received:
Revised:
Published:
DOI: https://doi.org/10.1155/S1110865703210088