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Topic Indexing of TV Broadcast News Programs

  • Rui Amaral
  • Isabel Trancoso
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2721)

Abstract

This paper describes a topic segmentation and indexation system for TV broadcast news programs spoken in European Portuguese. The system is integrated in an alert system for selective dissemination of multimedia information developed in the scope of an European Project. The goal of this work is to enhance the retrieval of specific spoken documents that have been automatically transcribed, using speech recognition. Our segmentation algorithm is based on simple heuristics related with anchor detection. The indexation is based on hierarchical concept trees (thesaurus), containing 22 main thematic domains, for which Hidden Markov models and topic language models were created. On-going experiments related to multiple topic indexing are also described, where a confidence measure based on the likelihood ratio test is used as the hypothesis test.

Keywords

Automatic Speech Recognition Speaker Identification Broadcast News News Program Report Segment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Rui Amaral
    • 1
  • Isabel Trancoso
    • 2
  1. 1.EST-Setúbal — Inst. Politécnico Setúbal / INESC-ID LisboaSetúbalPortugal
  2. 2.IST/INESCD-ID LisboaLisboaPortugal

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