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Probabilistic Aspects in Spoken Document Retrieval
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
doi:10.1155/s1110865703210088
fatcat:sgmmkygn7zcvznu4wd4antp6qu