Content-based language models for spoken document retrieval

Hsin Min Wang; Berlin Chen

doi:10.1145/355214.355236

Content-based language models for spoken document retrieval

Hsin Min Wang, Berlin Chen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Spoken document retrieval (SDR) has been extensively studied in recent years because of its potential use in navigating large multimedia collections in the near future. This paper presents a novel concept of applying the content-based language models to spoken document retrieval. In an example task for retrieval of Mandarin broadcast news, the content-based language models either trained with the automatic transcriptions of the spoken documents or adapted from the baseline language models using the automatic transcriptions of the spoken documents were used to create the more accurate recognition results and indexing terms from both the spoken documents and the speech queries. We report on some interesting findings obtained in this research.

Original language	English
Title of host publication	Proceedings of the 5th international Workshop on Information Retrieval with Asian Languages, IRAL 2000
Publisher	Association for Computing Machinery, Inc
Pages	149-155
Number of pages	7
ISBN (Electronic)	1581133006, 9781581133004
DOIs	https://doi.org/10.1145/355214.355236
Publication status	Published - 2000 Nov 1
Externally published	Yes
Event	5th International Workshop on Information Retrieval with Asian Languages, IRAL 2000 - Hong Kong, China Duration: 2000 Sept 30 → 2000 Oct 1

Publication series

Name	Proceedings of the 5th international Workshop on Information Retrieval with Asian Languages, IRAL 2000

Other

Other	5th International Workshop on Information Retrieval with Asian Languages, IRAL 2000
Country/Territory	China
City	Hong Kong
Period	2000/09/30 → 2000/10/01

Keywords

Content-based language models
Speech recognition
Spoken document retrieval (SDR)

ASJC Scopus subject areas

Computer Science Applications
Information Systems

Access to Document

10.1145/355214.355236

Cite this

Wang, H. M., & Chen, B. (2000). Content-based language models for spoken document retrieval. In Proceedings of the 5th international Workshop on Information Retrieval with Asian Languages, IRAL 2000 (pp. 149-155). (Proceedings of the 5th international Workshop on Information Retrieval with Asian Languages, IRAL 2000). Association for Computing Machinery, Inc. https://doi.org/10.1145/355214.355236

Content-based language models for spoken document retrieval. / Wang, Hsin Min; Chen, Berlin.
Proceedings of the 5th international Workshop on Information Retrieval with Asian Languages, IRAL 2000. Association for Computing Machinery, Inc, 2000. p. 149-155 (Proceedings of the 5th international Workshop on Information Retrieval with Asian Languages, IRAL 2000).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Wang, HM & Chen, B 2000, Content-based language models for spoken document retrieval. in Proceedings of the 5th international Workshop on Information Retrieval with Asian Languages, IRAL 2000. Proceedings of the 5th international Workshop on Information Retrieval with Asian Languages, IRAL 2000, Association for Computing Machinery, Inc, pp. 149-155, 5th International Workshop on Information Retrieval with Asian Languages, IRAL 2000, Hong Kong, China, 2000/09/30. https://doi.org/10.1145/355214.355236

Wang HM, Chen B. Content-based language models for spoken document retrieval. In Proceedings of the 5th international Workshop on Information Retrieval with Asian Languages, IRAL 2000. Association for Computing Machinery, Inc. 2000. p. 149-155. (Proceedings of the 5th international Workshop on Information Retrieval with Asian Languages, IRAL 2000). doi: 10.1145/355214.355236

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Content-based language models for spoken document retrieval

Abstract

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Keywords

ASJC Scopus subject areas

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