@inproceedings{f0ce056c2a4a4735968a2dc271eaaafc,
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.",
keywords = "IR-66682, EC Grant Agreement nr.: FP6/506811, METIS-237667, EWI-8337, EC Grant Agreement nr.: FP6/027685",
author = "{de Jong}, {Franciska M.G.} and Ordelman, {Roeland J.F.} and {van Hessen}, {Adrianus J.}",
year = "2006",
month = sep,
language = "Undefined",
isbn = "0-86341-671-3",
publisher = "The Institute of Engineering and Technology, London",
number = "10",
pages = "6",
booktitle = "International IET Conference on Visual Information Engineering (VIE 2006)",
note = "null ; Conference date: 01-09-2006",
}