The role of automated speech and audio analysis in semantic multimedia annotation

Franciska M.G. de Jong; Roeland J.F. Ordelman; Adrianus J. van Hessen

The role of automated speech and audio analysis in semantic multimedia annotation

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

This paper overviews the various ways in which automatic speech and audio analysis can be deployed to enhance the semantic annotation of multimedia content, and as a consequence to improve the effectiveness of conceptual access tools. A number of techniques will be presented, including the alignment of text resources, large vocabulary speech recognition, key word spotting and speaker classification. The applicability of techniques will be discussed from a media crossing perspective. The added value will be illustrated by the description of two complementary demonstrators for browsing broadcast news archieves.

Original language	Undefined
Title of host publication	International IET Conference on Visual Information Engineering (VIE 2006)
Place of Publication	Bangalore, India
Publisher	The Institute of Engineering and Technology, London
Pages	6
Number of pages	6
ISBN (Print)	0-86341-671-3
Publication status	Published - Sept 2006
Event	International IET Conference on Visual Information Engineering (VIE 2006), Bangalore, India: International IET Conference on Visual Information Engineering (VIE 2006) - Bangalore, India Duration: 1 Sept 2006 → …

Publication series

Name
Publisher	The Institute of Engineering and Technology, London
Number	10

Conference

Conference	International IET Conference on Visual Information Engineering (VIE 2006), Bangalore, India
City	Bangalore, India
Period	1/09/06 → …

Keywords

IR-66682
EC Grant Agreement nr.: FP6/506811
METIS-237667
EWI-8337
EC Grant Agreement nr.: FP6/027685

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Cite this

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title = "The role of automated speech and audio analysis in semantic multimedia annotation",

abstract = "This paper overviews the various ways in which automatic speech and audio analysis can be deployed to enhance the semantic annotation of multimedia content, and as a consequence to improve the effectiveness of conceptual access tools. A number of techniques will be presented, including the alignment of text resources, large vocabulary speech recognition, key word spotting and speaker classification. The applicability of techniques will be discussed from a media crossing perspective. The added value will be illustrated by the description of two complementary demonstrators for browsing broadcast news archieves.",

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author = "\{de Jong\}, \{Franciska M.G.\} and Ordelman, \{Roeland J.F.\} and \{van Hessen\}, \{Adrianus J.\}",

year = "2006",

month = sep,

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publisher = "The Institute of Engineering and Technology, London",

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de Jong, FMG, Ordelman, RJF & van Hessen, AJ 2006, The role of automated speech and audio analysis in semantic multimedia annotation. in International IET Conference on Visual Information Engineering (VIE 2006). The Institute of Engineering and Technology, London, Bangalore, India, pp. 6, International IET Conference on Visual Information Engineering (VIE 2006), Bangalore, India, Bangalore, India, 1/09/06.

The role of automated speech and audio analysis in semantic multimedia annotation. / de Jong, Franciska M.G.; Ordelman, Roeland J.F.; van Hessen, Adrianus J.
International IET Conference on Visual Information Engineering (VIE 2006). Bangalore, India: The Institute of Engineering and Technology, London, 2006. p. 6.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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KW - EC Grant Agreement nr.: FP6/027685

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