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Java Library for Automatic Musical Instruments Recognition

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.

Authors: Aniola, Piotr; Lukasik, Ewa
Affiliation: Poznan University of Technology, Institute of Computing Science
AES Convention:122 (May 2007) Paper Number:7157 Import into BibTeX
Subject:Analysis and Synthesis of Sound

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