Advances in phonetic word spotting

  • Authors:
  • Arnon Amir;Alon Efrat;Savitha Srinivasan

  • Affiliations:
  • IBM Research Division, San Jose CA;The University of Arizona, Tucson, AZ;IBM Research Division, San Jose CA

  • Venue:
  • Proceedings of the tenth international conference on Information and knowledge management
  • Year:
  • 2001

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Abstract

Phonetic speech retrieval is used to augment word based retrieval in spoken document retrieval systems, for in and out of vocabulary words. In this paper, we present a new indexing and ranking scheme using metaphones and a Bayesian phonetic edit distance. We conduct an extensive set of experiments using a hundred hours of HUB4 data with ground truth transcript and twenty-four thousands query words. We show improvement of up to 15% in precision compare to results obtained speech recognition alone, at a processing time of 0.5 Sec per query.