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Intelligent System for Commercial Block Recognition Using Audio Signal Only

  • Conference paper
Knowledge-Based and Intelligent Information and Engineering Systems (KES 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6276))

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Abstract

In this article the effective method of a single commercial extracting from a advertising block and its recognition using only the audio signal is presented. Proposed algorithm uses a multidimensional orthogonal audio signal representation for a track parametrization. Simulation results for poor commercial audio signal recording conditions and comparison with the known methods are presented. The proposed solution gives a recognition at the level of 98%. This is the result better than the popular methods based on spectral analysis.

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Author information

Authors and Affiliations

  1. Telecom, Acoustic and Computer Science Institute, Wroclaw University of Technology, Wyb. Wyspianskiego 27, 50-350, Wroclaw, Poland

    Pawel Biernacki

Authors
  1. Pawel Biernacki
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Editor information

Editors and Affiliations

  1. School of Engineering, The Parade, Cardiff University, CF24 3AA, Cardiff, UK

    Rossitza Setchi

  2. Dept. of Computer Science and Software Engineering, BUckingham Building, Lion Terrace, University of Portsmouth, PO1 3HE, Portsmouth, UK

    Ivan Jordanov

  3. KES International, 145-157, St. John Street, EC1V 4PY, London, UK

    Robert J. Howlett

  4. School of Electrical and Information Engineering, University of South Australia, ,, Adelaide, Mawson Lakes Campus, 5095, SA, Australia

    Lakhmi C. Jain

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© 2010 Springer-Verlag Berlin Heidelberg

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Biernacki, P. (2010). Intelligent System for Commercial Block Recognition Using Audio Signal Only. In: Setchi, R., Jordanov, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2010. Lecture Notes in Computer Science(), vol 6276. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15387-7_40

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  • DOI: https://doi.org/10.1007/978-3-642-15387-7_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15386-0

  • Online ISBN: 978-3-642-15387-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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