Advances in phonetic word spotting

Arnon Amir, Alon Efrat, Savitha Srinivasan

Research output: Contribution to conferencePaper

19 Scopus citations

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.

Original languageEnglish (US)
Pages580-582
Number of pages3
DOIs
StatePublished - Jan 1 2001
EventProceedings of the 2001 ACM CIKM: 10th International Conference on Information and Knowledge Management - Atlanta, GA, United States
Duration: Nov 5 2001Nov 10 2001

Other

OtherProceedings of the 2001 ACM CIKM: 10th International Conference on Information and Knowledge Management
CountryUnited States
CityAtlanta, GA
Period11/5/0111/10/01

ASJC Scopus subject areas

  • Business, Management and Accounting(all)

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    Amir, A., Efrat, A., & Srinivasan, S. (2001). Advances in phonetic word spotting. 580-582. Paper presented at Proceedings of the 2001 ACM CIKM: 10th International Conference on Information and Knowledge Management, Atlanta, GA, United States. https://doi.org/10.1145/502692.502697