Content-based access to spoken audio

This article describes approaches to content-based access to spoken audio with a qualitative and tutorial emphasis. We describe how the analysis, retrieval, and delivery phases contribute to making spoken audio content more accessible and outline outstanding research issues. We also discuss the main...

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Bibliographic Details
Published in:IEEE signal processing magazine 2005-09, Vol.22 (5), p.61-69
Main Authors: Koumpis, K., Renals, S.
Format: Magazinearticle
Language:English
Subjects:
Architecture
Automatic speech recognition
Content based retrieval
Data mining
Humans
Indexing
Material storage
Natural languages
Phases
Retrieval
Signal processing
Speech recognition
Tasks
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Summary:This article describes approaches to content-based access to spoken audio with a qualitative and tutorial emphasis. We describe how the analysis, retrieval, and delivery phases contribute to making spoken audio content more accessible and outline outstanding research issues. We also discuss the main application domains and identify important issues for future developments. The structure of the article is based on the general system architecture for content-based access. Although the tasks within each processing stage may appear unconnected, the interdependencies and the sequence with which they take place vary.
ISSN:1053-5888
1558-0792
DOI:10.1109/MSP.2005.1511824