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Some Experiments in Evaluating ASR Systems Applied to Multimedia Retrieval

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Adaptive Multimedia Retrieval. Understanding Media and Adapting to the User (AMR 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6535))

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Abstract

This paper describes some tests performed on different types of voice/audio input applying three commercial speech recognition tools. Three multimedia retrieval scenarios are considered: a question answering system, an automatic transcription of audio from video files and a real-time captioning system used in the classroom for deaf students. A software tool, RET (Recognition Evaluation Tool), has been developed to test the output of commercial ASR systems.

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References

  1. Altova, Altova DiffDog, http://www.altova.com/products/diffdog/diff_merge_tool.html (viewed July 2010)

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Author information

Authors and Affiliations

  1. Computer Science Department, Universidad Carlos III de Madrid, Avda. Universidad n 30, 28911, Leganés, Madrid, Spain

    Julián Moreno, Marta Garrote & Paloma Martínez

  2. DAEDALUS – Data, Decisions and Language S.A., Avda. de la Albufera, 321, 28031, Madrid, Spain

    José L. Martínez-Fernández

Authors
  1. Julián Moreno
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  2. Marta Garrote
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  3. Paloma Martínez
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  4. José L. Martínez-Fernández
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Editor information

Editors and Affiliations

  1. Universite Pierre et Marie Curie, Paris, France

    Marcin Detyniecki

  2. Universidad Nacional de Educación a Distancia, Madrid, Spain

    Ana García-Serrano

  3. Otto-von-Guericke Universität Madgeburg, Magdeburg, Germany

    Andreas Nürnberger

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© 2011 Springer-Verlag Berlin Heidelberg

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Moreno, J., Garrote, M., Martínez, P., Martínez-Fernández, J.L. (2011). Some Experiments in Evaluating ASR Systems Applied to Multimedia Retrieval. In: Detyniecki, M., García-Serrano, A., Nürnberger, A. (eds) Adaptive Multimedia Retrieval. Understanding Media and Adapting to the User. AMR 2009. Lecture Notes in Computer Science, vol 6535. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18449-9_2

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  • DOI: https://doi.org/10.1007/978-3-642-18449-9_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-18448-2

  • Online ISBN: 978-3-642-18449-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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