New Approaches to Spoken Document Retrieval

  • Authors:
  • Martin Wechsler;Eugen Munteanu;Peter Schäuble

  • Affiliations:
  • Mckinsey and Company, Switzerland;Eugen Muntiany, Eurospider Information Technology A6, Zurich, Switzerland;Eurospider Information Technology A6, Zurich, Switzerland

  • Venue:
  • Information Retrieval
  • Year:
  • 2000

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper presents four novel techniques for open-vocabulary spoken document retrieval: a method to detect slots that possibly contain a query feature; a method to estimate occurrence probabilities; a technique that we call collection-wide probability re-estimation and a weighting scheme which takes advantage of the fact that long query features are detected more reliably. These four techniques have been evaluated using the TREC-6 spoken document retrieval test collection to determine the improvements in retrieval effectiveness with respect to a baseline retrieval method. Results show that the retrieval effectiveness can be improved considerably despite the large number of speech recognition errors.