Musical instrument classification using neural networks
Mustafa Sarimollaoglu, Coşkun Bayrak · 2006
Abstract:- In this paper, a system for automatic classification of musical instrument sounds is introduced. As features mel-frequency cepstral coefficients and as classifiers probabilistic neural networks are used. The experimental dataset included 4548 solo tones from 19 instruments of MIS database (The University of Iowa Musical Instrument Samples). Experiments for different system structures (hierarchical and direct classification) were carried out and compared. The best performance in direct classification was 92 % for individual instruments and 97 % for families; and 89 % for individual instruments when hierarchical approach is used. Key-Words:- Musical instrument classification, probabilistic neural networks, PNN 1