An Expert System for Automatic Classiﬁcation of Sound Signals | Zendy

Krzysztof Tyburek | Zendy; Piotr Kotlarz | Zendy

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An Expert System for Automatic Classiﬁcation of Sound Signals

Author(s) -

Krzysztof Tyburek,

Piotr Kotlarz

Publication year - 2020

Publication title -

journal of telecommunications and information technology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.151

H-Index - 12

eISSN - 1899-8852

pISSN - 1509-4553

DOI - 10.26636/jtit.2020.143220

Subject(s) - computer science , artificial neural network , fuzzy logic , artificial intelligence , expert system , machine learning , basis (linear algebra) , data mining , pattern recognition (psychology) , speech recognition , mathematics , geometry

In this paper, we present the results of research focusing on methods for recognition/classication of audio signals. We consider the results of the research project to serve as a basis for the main module of a hybrid expert system currently under development. In our earlier studies, we conducted research on the eectiveness of three classiers: fuzzy classier, neural classier and WEKA system for reference data. In this project, a particular emphasis was placed on ne-tuning the fuzzy classier model and on identifying neural classier applications, taking into account new neural networks that we have not studied so far in connection with sounds classication methods

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