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Television information filtering through speech recognition

  • Session 2: Multimedia Services on Demand I
  • Conference paper
  • First Online:
Interactive Distributed Multimedia Systems and Services (IDMS 1996)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1045))

Abstract

The problem of information overload can be solved by the application of information filtering to the huge amount of data. Information on radio and television can be filtered using speech recognition of the audio track. A prototype system using closed captions has been developed on top of the INQUERY information access system. The challange of integrating speech recognition and information retrieval into a working system is a big one. The open problems are the selection of a document representation model, the recognition and selection of indexing features for speech retrieval and dealing with the erroneous output of recognition processes.

This research has been conducted at the Digital Cambridge Research Lab, Massachusetts, United States of America

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Author information

Authors and Affiliations

  1. Centre for Telematics and Information Technology, University of Twente, USA

    Arjen P. de Vries Jr.

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  1. Arjen P. de Vries Jr.
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Editor information

Berthold Butscher Eckhard Moeller Herwart Pusch

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© 1996 Springer-Verlag Berlin Heidelberg

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de Vries, A.P. (1996). Television information filtering through speech recognition. In: Butscher, B., Moeller, E., Pusch, H. (eds) Interactive Distributed Multimedia Systems and Services. IDMS 1996. Lecture Notes in Computer Science, vol 1045. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60938-5_5

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  • DOI: https://doi.org/10.1007/3-540-60938-5_5

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60938-4

  • Online ISBN: 978-3-540-49742-4

  • eBook Packages: Springer Book Archive

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