A hierarchical modular architecture for musical instrument classification

Article type: Research Article

Authors: Fanelli, Anna Maria^{; *} | Caponetti, Laura | Castellano, Giovanna | Buscicchio, Cosimo Alessandro

Affiliations: Universitàdegli Studi di Bari – Dipartimento di Informatica, Bari, Italy

Correspondence: [*] Corresponding author. E-mail: fanelli@di.uniba.it

Abstract: 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 decomposes 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.

DOI: 10.3233/KES-2005-9301

Journal: International Journal of Knowledge-based and Intelligent Engineering Systems, vol. 9, no. 3, pp. 173-182, 2005