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Generalized Recognition of Sound Events: Approaches and Applications

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Multimedia Services in Intelligent Environments

Part of the book series: Studies in Computational Intelligence ((SCI,volume 120))

Summary

This chapter surveys the contemporary approaches of automatic sound recognition and discusses the benefits stemming from real-world applications of this technology. We identify the common aspects and subtle differences among these diverse application areas and review state-of-the-art systems. In this context we project that there is much space for knowledge transfer between the different subfields of sound classification, which seem to evolve independently while achieving different states of maturity. Particular emphasis is given to lessons learned from the speech recognition paradigm, which together with speaker recognition were among the first applications of sound classification that reached the status of launching commercial products at a large climax. Special attention is paid to new emerging applications such as environmental monitoring and bioacoustic identification and applications to music which have already started altering our everyday life as we once knew it.

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Authors and Affiliations

  1. Department of Music Technology and Acoustics, Technological Educational Institute of Crete, Greece

    Ilyas Potamitis

  2. Department of Electrical and Computer Engineering, University of Patras, Greece

    Todor Ganchev

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  1. Ilyas Potamitis
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  1. Department of Informatics, University of Piraeus, Karaoli-Dimitriou Str. 80, 185 34, Piraeus, Greece

    George A. Tsihrintzis

  2. School of Electrical & Information Engineering, University of South Australia KES Centre, Mawson Lakes Campus, Adelaide, SA, 5095, Australia

    Lakhmi C. Jain

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Potamitis, I., Ganchev, T. (2008). Generalized Recognition of Sound Events: Approaches and Applications. In: Tsihrintzis, G.A., Jain, L.C. (eds) Multimedia Services in Intelligent Environments. Studies in Computational Intelligence, vol 120. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78502-6_3

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