Synthetic News Radio

This paper describes a system that uses speech recognition and clustered text news stories to automatically find story boundaries in an audio news broadcast and provides a semantic representation that can match audio news stories of similar content. This system creates a personal, synthetic newscast...

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Bibliographic Details
Published in:IBM systems journal 2000, Vol.39 (3.4), p.646-659
Main Authors: Emnett, K., Schmandt, C.
Format: Article
Language:English
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Summary:This paper describes a system that uses speech recognition and clustered text news stories to automatically find story boundaries in an audio news broadcast and provides a semantic representation that can match audio news stories of similar content. This system creates a personal, synthetic newscast by extracting stories, based on user interests, from multiple hourly newscasts and then reassembling them into a single recording at the end of the day. Interaction is via graphical and telephone-based interfaces, with newscasts delivered over a local area network or to wireless audio pagers.
ISSN:0018-8670
DOI:10.1147/sj.393.0646