Media Technology MSc

MSc Thesis


Title

Data Music: Creating Machine Interpretable Musical Structures Using Data-Modulated Audio Signals

Student(s)

Aurimas Bavarskis

Year

2013

Abstract

This paper discusses a way of creating musical structures by generating and combining data-modulated signals. Those can be analyzed and decoded by a machine interpreter. Audio Frequency Shift Keying modulation technique is used to demonstrate how data can be translated into music. The goal of such exploration is to show that sound as a medium is capable of storing about any information possible. Thereby, music composition as an artistic practice may stretch beyond the borders of conventional techniques of sound organization towards a data driven approach.

Full Reference

Aurimas Bavarskis, "Data Music: Creating Machine Interpretable Musical Structures Using Data-Modulated Audio Signals", Master's Thesis for the Media Technology programme, Leiden University (The Netherlands), 2013