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Title: An Expert System for Automatic Classification of Sound Signals, Journal of Telecommunications and Information Technology, 2020, nr 2

Creator:

Tyburek, Krzysztof ; Kotlarz, Piotr

Date:

2020, nr 2

Resource Type:

artykuł

Description:

In this paper, we present the results of research focusing on methods for recognition/classification 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 effectiveness of three classifiers: fuzzy classifier, neural classifier and WEKA system for reference data. In this project, a particular emphasis was placed on fine-tuning the fuzzy classifier model and on identifying neural classifier applications, taking into account new neural networks that we have not studied so far in connection with sounds classification methods

Publisher:

Instytut Łączności - Państwowy Instytut Badawczy

Format:

application/pdf

Resource Identifier:

ISSN 1509-4553, on-line: ISSN 1899-8852 ; oai:bc.itl.waw.pl:2141

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

MPEG-7 spectral features of sound bird species audio descriptors fuzzy classification of audio signals

Object collections:

Last modified:

Jul 20, 2020

In our library since:

Jul 20, 2020

Number of object content hits:

37

All available object's versions:

https://bc.itl.waw.pl/publication/2434

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Edition name Date
Tyburek Krzysztof; Kotlarz Piotr, An Expert System for Automatic Classification of Sound Signals, Journal of Telecommunications and Information Technology, 2020, nr 2 Jul 20, 2020

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Instytut Łączności – Państwowy Instytut Badawczy ul. Szachowa 1 04-894 Warszawa

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(+48) 5128 696

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