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The paper presents open source Java library intended for analysis and classification of musical instruments sounds. It consists of two main parts: one devoted for feature extraction and the second performing musical instruments recognition and similarity assessment. Project’s plug-in based structure enables further extendibility of both modules. In the current version two separate sound modeling algorithms have been implemented: k-means and Gaussian Mixture Models. The software has been created for the purpose of recognition of different exemplars of the same type of instruments and validated for electric guitars, guitar-amplifiers and violins. Java project follows the latest trends in software engineering. It enables the developer to easily create highly usable, reliable and extendable programs.
Author (s): Aniola, Piotr;
Lukasik, Ewa;
Affiliation:
Poznan University of Technology, Institute of Computing Science
(See document for exact affiliation information.)
AES Convention: 122
Paper Number:7157
Publication Date:
2007-05-06
Session subject:
Analysis and Synthesis of Sound
DOI:
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Aniola, Piotr; Lukasik, Ewa; 2007; Java Library for Automatic Musical Instruments Recognition [PDF]; Poznan University of Technology, Institute of Computing Science; Paper 7157; Available from: https://aes.org/publications/elibrary-page/?id=14142
Aniola, Piotr; Lukasik, Ewa; Java Library for Automatic Musical Instruments Recognition [PDF]; Poznan University of Technology, Institute of Computing Science; Paper 7157; 2007 Available: https://aes.org/publications/elibrary-page/?id=14142
@inproceedings{Aniola2007java,
title={{Java Library for Automatic Musical Instruments Recognition}},
author={Aniola, Piotr and Lukasik, Ewa},
year={2007},
month={may},
booktitle={Journal of the Audio Engineering Society},
publisher={Paper 7157; AES Convention 122; May 2007},
number={7157},
organization={AES},
}
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