Application of a computational model of human auditory system for analysis and representation of contemporary music recordings

• Grant number: 13/20528-0
• Support Opportunities: Scholarships in Brazil - Doctorate
• Start date: March 01, 2014
• End date: February 29, 2016
• Field of knowledge: Linguistics, Literature and Arts - Arts - Music
• Principal Investigator: Jônatas Manzolli
• Grantee: Adriano Claro Monteiro
• Host Institution: Núcleo Interdisciplinar de Comunicação Sonora (NICS). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil

Abstract

We propose an investigation on computational methods for musical representation aiming at the analysis of the contemporary music repertoire related to the sound-based-music paradigm, as introduced by Landy (2008). Our objective is the development of a computational toolbox for musical representation applicable for digital sound recordings. In order to do this, we will apply computational models for sound analysis provided by recent studies on the neural bases of human auditory system. We believe that these models from auditory physiology research may provide actionable data to create quantitative methods to represent sounds in musical context.

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

MONTEIRO, Adriano Claro. Neurophysiological based audio features applied to automatic segmentation of music made of sounds non-reducible to the concept of musical note. 2016. Doctoral Thesis - Universidade Estadual de Campinas (UNICAMP). Instituto de Artes Campinas, SP.