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Fuzzy System for the Classification of Sounds of Birds Based on the Audio Descriptors

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Artificial Intelligence and Soft Computing (ICAISC 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8468))

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Abstract

This paper presents an application of fuzzy systems for the classification of sounds coded by the selected MPEG-7 descriptors. The model of the fuzzy classification system is based on the audio descriptors for a few chosen species of birds: Great Spotted Woodpecker, Greylag, Goldfinch, Chaffinch. The paper proposes two fuzzy models that definitely differ by the description of the input linguistic variables. The results show, that both approaches are effective. However, second one is more flexible in a case of future expanding of the model with next descriptors or species of birds.

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Tyburek, K., Prokopowicz, P., Kotlarz, P. (2014). Fuzzy System for the Classification of Sounds of Birds Based on the Audio Descriptors. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2014. Lecture Notes in Computer Science(), vol 8468. Springer, Cham. https://doi.org/10.1007/978-3-319-07176-3_61

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  • DOI: https://doi.org/10.1007/978-3-319-07176-3_61

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07175-6

  • Online ISBN: 978-3-319-07176-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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