Eoliaki Opsi: Computer Generated Compositions Using Environmental Data

A computer-generated composition, software programs, site-specific elevation and climatic data from Ag. Ioannis, Prodromos, Farsala, Panagia, and Kastro locations in the province of Thessaly were vital in constructing the various compositions between 2013 – 2024. Grains from musique concrète and electronic sounds created a powerful way to experience complex micro-sound phenomena. Electronic waveforms are sinusoids at specified frequencies. Sampled acoustic waveforms are read from locations with or without frequency alterations. Together, they create sound diagrams of macro-environmental communication paths. The process derives its sound complexity from the amount of control data it receives. The sourcing, classification and categorisation of data from natural environments lead to inherent errors with data limitations. Extra care is needed to accurately represent data in analysing ecological dynamics, to engage and minimise discrepancies within systems.

Authors

Publication Details

Journal
Boston Research Journal of Social Sciences & Humanities
Published
2025-06-06
DOI
https://doi.org/10.63942/brjssh.v5.i3.p15.52390
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
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article

Eoliaki Opsi: Computer Generated Compositions Using Environmental Data

Dimitri Voudouris
Boston Research Journal of Social Sciences & Humanities
Geochemistry and Geologic Mapping
article

Eoliaki Opsi: Computer Generated Compositions Using Environmental Data

Dimitri Voudouris
article en

Abstract

A computer-generated composition, software programs, site-specific elevation and climatic data from Ag. Ioannis, Prodromos, Farsala, Panagia, and Kastro locations in the province of Thessaly were vital in constructing the various compositions between 2013 – 2024. Grains from musique concrète and electronic sounds created a powerful way to experience complex micro-sound phenomena. Electronic waveforms are sinusoids at specified frequencies. Sampled acoustic waveforms are read from locations with or without frequency alterations. Together, they create sound diagrams of macro-environmental communication paths. The process derives its sound complexity from the amount of control data it receives. The sourcing, classification and categorisation of data from natural environments lead to inherent errors with data limitations. Extra care is needed to accurately represent data in analysing ecological dynamics, to engage and minimise discrepancies within systems.

Boston Research Journal of Social Sciences & HumanitiesVol. 5(3)
Openalex Percentile: Top 92%
Geochemistry and Geologic Mapping
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