The role of automated speech and audio analysis in semantic multimedia annotation
Franciska M. G. de Jong, Roeland Ordelman, Arjan van Hessen · 2006
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 archives.