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Speech Processing for Audio Indexing

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Book cover Advances in Natural Language Processing (GoTAL 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5221))

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Abstract

This paper addresses some of the recent trends in speech processing, with a focus on speech-to-text transcription as a means to facilitate access to multimedia information in a multilingual context. A brief overview of automatic speech recognition is given along with indicative performance measures for a range of tasks. Enriched transcriptions, that is enhancing the automatic word transcripts with meta-data derived from the audio data is discussed, followed by some hightlights of recent progress and remaining challenges in speech recognition.

This work has been partially financed under the GALE program of the Defense Advanced Research Projects Agency, Contract No. HR0011-06-C-0022 and by OSEO under the Quaero program.

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Authors and Affiliations

  1. LIMSI-CNRS, BP 133, 91403, Orsay Cedex, France

    Lori Lamel & Jean-Luc Gauvain

Authors
  1. Lori Lamel
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  2. Jean-Luc Gauvain
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Chalmers University of Technology, 41296, Göteborg, Sweden

    Bengt Nordström  & Aarne Ranta  & 

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Lamel, L., Gauvain, JL. (2008). Speech Processing for Audio Indexing. In: Nordström, B., Ranta, A. (eds) Advances in Natural Language Processing. GoTAL 2008. Lecture Notes in Computer Science(), vol 5221. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85287-2_2

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  • DOI: https://doi.org/10.1007/978-3-540-85287-2_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85286-5

  • Online ISBN: 978-3-540-85287-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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