Fine-Grained Hidden Markov Modeling for Broadcast-News Story Segmentation

By Dr. Warren Greiff , Alexander Morgan , Dr. Randall Fish , Marc Richards , Amlan Kundu

We present the design and development of a Hidden Markov Model for the division of news broadcasts into story segments.

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We present the design and development of a Hidden Markov Model for the division of news broadcasts into story segments. Model topology, and the textual features used, are discussed, together with the non-parametric estimation techniques that were employed for obtaining estimates for both transition and observation probabilities. Visualization methods developed for the analysis of system performance are also presented.