A hierarchical modular architecture for musical instrument classification
Anna Maria Fanelli, Laura Caponetti, Giovanna Castellano, Cosimo Alessandro Buscicchio · International Journal of Knowledge-based and Intelligent Engineering Systems · 2005
This paper proposes a classification system based on a hierarchical modular architecture. Such an architecture is designed to address high-dimensional classification problems, that are characterized by a high number of input features and a large number of classes. The hierarchical approach decompos es a “many-class” problem into a hierarchy of “few-class” sub-problems, while the modular approach allows efficient treatment of high-dimensional input spaces. Specifically, each classifier in the hierarchy has a modular structure. Each module is implemented as a neuro-fuzzy network that operates on a distinct region of the input space. As an application, the proposed architecture is employed to solve the problem of classifying musical instruments from the sound they produce.