Text segmentation and topic tracking on broadcast news via a hidden Markov model approach

  title={Text segmentation and topic tracking on broadcast news via a hidden Markov model approach},
  author={Paul van Mulbregt and Ira Carp and Larry Gillick and Steve Lowe and Jon Yamron},
Expertise in the automatic transcription of broadcast speech has progressed to the point of being able to use the resulting transcripts for information retrieval purposes. In this paper, we first describe a corpus of automatically recognized broadcast news, a method for segmenting the broadcast into stories, and finally apply this method to retrieve stories relating to a specific topic. The method is based on Hidden Markov Models and is in analogy with the usual implementation of HMMs in speech… CONTINUE READING
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Dragon Systems’ 1997 Broadcast News Transcription System

  • Steven Wegmann, Francesco Scattone, Ira Carp, Larry Gillick, Robert Roth, Jonathan P. Yamron.
  • Proceedings of Broadcast News Transcription and…
  • 1998

Segmentationand TopicTrackingonBroadcastNewsvia a Hidden Markov model approach

  • I. Carp, L. Gillick, S. Lowe, J. P. Yamron

Text Segmentation and Topic Tracking on Broadcast News via a Hidden Markov model approach

  • P. van Mulbregt, J. P. Yamron, I. Carp, L. Gillick, S. Lowe

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