Authors:
Krzysztof Tyburek
;
Piotr Prokopowicz
and
Piotr Kotlarz
Affiliation:
Kazimierz Wielki University, Poland
Keyword(s):
Fuzzy System, Linguistic Modelling, MPEG-7, Audio Descriptors, Fuzzy Classification of Audio Signals, Neural Networks.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Computational Intelligence
;
Fuzzy Image, Speech and Signal Processing, Vision and Multimedia
;
Fuzzy Systems
;
Pattern Recognition: Fuzzy Clustering and Classifiers
;
Soft Computing
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.