Advances in phonetic word spotting

Arnon Amir; Alon Efrat; Savitha Srinivasan

doi:10.1145/502692.502697

Advances in phonetic word spotting

Arnon Amir
, Alon Efrat
, Savitha Srinivasan

Research output: Contribution to conference › Paper › peer-review

22 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 language	English (US)
Pages	580-582
Number of pages	3
DOIs	https://doi.org/10.1145/502692.502697
State	Published - 2001
Externally published	Yes
Event	Proceedings of the 2001 ACM CIKM: 10th International Conference on Information and Knowledge Management - Atlanta, GA, United States Duration: Nov 5 2001 → Nov 10 2001

Other

Other	Proceedings of the 2001 ACM CIKM: 10th International Conference on Information and Knowledge Management
Country/Territory	United States
City	Atlanta, GA
Period	11/5/01 → 11/10/01

ASJC Scopus subject areas

General Decision Sciences
General Business, Management and Accounting

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10.1145/502692.502697

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title = "Advances in phonetic word spotting",

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.",

author = "Arnon Amir and Alon Efrat and Savitha Srinivasan",

year = "2001",

doi = "10.1145/502692.502697",

language = "English (US)",

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note = "Proceedings of the 2001 ACM CIKM: 10th International Conference on Information and Knowledge Management ; Conference date: 05-11-2001 Through 10-11-2001",

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AU - Amir, Arnon

AU - Efrat, Alon

AU - Srinivasan, Savitha

PY - 2001

Y1 - 2001

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AB - 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.

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UR - https://www.scopus.com/pages/publications/0035747557#tab=citedBy

U2 - 10.1145/502692.502697

DO - 10.1145/502692.502697

M3 - Paper

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T2 - Proceedings of the 2001 ACM CIKM: 10th International Conference on Information and Knowledge Management

Y2 - 5 November 2001 through 10 November 2001

ER -

Advances in phonetic word spotting

Abstract

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