Sonification of Visual Art for Accessibility: A Mathematical Pipeline from Painting Structure to Auditory Signature — Argira Station v2.0
Description
This deposit contains version 2.0 of the Argira Sonification Pipeline,
a deterministic mathematical system that converts paintings into stereo
audio WAV files based on their visual structure — fractal dimension,
color distribution, spatial composition, and golden ratio proximity.
The pipeline does not describe paintings. It translates their mathematical
structure into sound. Primary mission: real accessibility for visually
impaired people in museum environments.
── WHAT IS NEW IN V2.0 ──
B — Tempo: three independent contributors (palette dispersion, spatial
variance, fractal complexity). Effective range 40–140 BPM.
D — Golden ratio hypothesis corrected: minimum distance evaluated to
BOTH golden points P1(0.382, 0.382) and P2(0.618, 0.618). Now
falsifiable and connected to real sonic parameters (mod_rate, decay).
A — Stereo synthesis: 2-channel WAV output, equal-power panoramization
from 3×3 spatial grid, granular layer when D > 1.85, amplified odd_bias
for timbre contrast, second oscillator when hue_std > 0.18.
── EVIDENCE ──
7 paintings processed (Monet, Van Gogh). Frequency differences up to
530 Hz between authors. Informal perceptual validation confirmed:
distinguishable on first listen. Pipeline is honest: mathematically
similar paintings produce similar signatures — that is information,
not failure.
── FILES ──
sonify_painting_v2.py — complete executable pipeline
analyze_mfcc.py — Phase 2 spectral feature extraction (MFCC, centroid, flux, entropy)
README_zenodo.md — full technical documentation
7 stereo WAV files — one per painting processed
── ROADMAP ──
Phase 1 — Pipeline v2 ✓ complete
Phase 2 — Mathematical validation: MFCC, spectral centroid, entropy
Phase 3 — ABX user experiment: blind/VI + sighted groups
Phase 4 — Scientific paper: ICAD, SMC, ACM CHI
Phase 5 — Mobile app prototype for museum use
── LICENSE ──
CC BY-NC 4.0. Commercial use requires explicit written permission.
Contact: josecorreo1@outlook.es
Files
impression_soleil_levant_v2.wav
Files
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Additional details
Related works
- Is new version of
- Software: 10.5281/zenodo.18832292 (DOI)
- References
- Dataset: 10.5281/zenodo.18818856 (DOI)
- Dataset: 10.5281/zenodo.18806604 (DOI)
References
- Ranero García, J. (2026). Sonification of Visual Art for Accessibility: A Mathematical Pipeline from Painting Structure to Auditory Signature — Argira Station v2.0. Zenodo. https://doi.org/10.5281/zenodo.18841939