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Generative Sonification of Synthetic Virology Data with Waveshaping and Granular Synthesis Techniques

Research output: Contribution to journalArticlepeer-review

Abstract

As the field of ubiquitous music has matured and developed since its inception, it has turned its attention to the question of sonification and how sonification techniques might be used to create music from the many rich sources of data that both mediate and permeate our day-to-day lives. The system presented in this paper focuses on the sonification of synthetic virology data. The authors outline an approach to sonification that integrates agent-based modeling for music generation with waveshaping and granular synthesis techniques to render key components of a viral dataset in musical terms
Original languageEnglish (Ireland)
JournalLeonardo
Volume59
Issue number1
DOIs
Publication statusPublished - 2 Feb 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

UCC Futures

  • Future of Health
  • Future Medicines
  • Artificial Intelligence and Data Analytics
  • Future Humanities Institute

Keywords

  • Virology
  • DNA
  • Data Analysis
  • Data
  • Sonification
  • Auditory Display
  • Auditory (non-speech) feedback
  • Visualization
  • Visualization techniques and methodologies
  • Media Engineering
  • Diseases
  • Music
  • sound & music computing
  • Agent-based modeling
  • Music Composition
  • Data Visualization
  • Granular Synthesis
  • Waveshaping
  • Wavetable
  • Audio Engineering
  • Audio Synthesis
  • Audio Representations

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