Java Library for Automatic Musical Instruments Recognition

Aniola P, Lukasik E. Java Library for Automatic Musical Instruments Recognition. In: AES Convention 122. Audio Engineering Society; 2007. Paper 7157. Available from: https://aes.org/publications/elibrary-page/?id=14142

@inproceedings{Aniola2007_14142,
  author = {Aniola, Piotr and Lukasik, Ewa},
  title = {{Java Library for Automatic Musical Instruments Recognition}},
  booktitle = {AES Convention 122},
  note = {Paper 7157},
  year = {2007},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=14142}
}

TY  - CPAPER
TI  - Java Library for Automatic Musical Instruments Recognition
AU  - Aniola, Piotr
AU  - Lukasik, Ewa
T2  - AES Convention 122
M1  - Paper 7157
PY  - 2007
DA  - 2007/05/06
UR  - https://aes.org/publications/elibrary-page/?id=14142
PB  - Audio Engineering Society
LA  - en
AB  - 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.
ER  -