Computational Intelligence in a Classification of Audio Recordings of Nature

Krzysztof Tyburek, Piotr Prokopowicz, Piotr Kotlarz

2014

Abstract

This paper presents different ways for a classification of sounds of birds using linguistic approach with a fuzzy system, neural network and WEKA system. Features of sounds of birds species are coded by the selected MPEG-7 descriptors. The models of classification system are based on the audio descriptors for a some chosen species of birds like: Corn Crake, Hawk, Blackbird, Cuckoo, Lesser Whitethroat, Chiffchaff, Eurasian Pygmy Owl, Meadow Pipit, House Sparrow, Firecrest. The paper proposes fuzzy models that definitely bases on the linguistic description. Moreover neural network for classification was proposed. As reference results WEKA system is used.

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Paper Citation


in Harvard Style

Tyburek K., Prokopowicz P. and Kotlarz P. (2014). Computational Intelligence in a Classification of Audio Recordings of Nature . In Proceedings of the International Conference on Fuzzy Computation Theory and Applications - Volume 1: FCTA, (IJCCI 2014) ISBN 978-989-758-053-6, pages 187-192. DOI: 10.5220/0005153801870192


in Bibtex Style

@conference{fcta14,
author={Krzysztof Tyburek and Piotr Prokopowicz and Piotr Kotlarz},
title={Computational Intelligence in a Classification of Audio Recordings of Nature},
booktitle={Proceedings of the International Conference on Fuzzy Computation Theory and Applications - Volume 1: FCTA, (IJCCI 2014)},
year={2014},
pages={187-192},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005153801870192},
isbn={978-989-758-053-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Fuzzy Computation Theory and Applications - Volume 1: FCTA, (IJCCI 2014)
TI - Computational Intelligence in a Classification of Audio Recordings of Nature
SN - 978-989-758-053-6
AU - Tyburek K.
AU - Prokopowicz P.
AU - Kotlarz P.
PY - 2014
SP - 187
EP - 192
DO - 10.5220/0005153801870192