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Synthetic News Radio

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2 Author(s)
Emnett, K. ; MIT Media Laboratory, 20 Ames Street, Cambridge, Massachusetts 02139-4307, USA ; Schmandt, C.

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.

Note: The Institute of Electrical and Electronics Engineers, Incorporated is distributing this Article with permission of the International Business Machines Corporation (IBM) who is the exclusive owner. The recipient of this Article may not assign, sublicense, lease, rent or otherwise transfer, reproduce, prepare derivative works, publicly display or perform, or distribute the Article.  

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IBM Systems Journal  (Volume:39 ,  Issue: 3.4 )