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March 23, 2026Open Access

RESON: A Five-Layer Computational Framework for Structural-Acoustic Classification of the Voynich Manuscript Using 51 Control Texts in 17 Language Categories

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The aim is to explore the structural-acoustic classification of the Voynich Manuscript using a computational framework.
Utilized a five-layer computational framework named RESON for analysis.
Included Python source code, exploratory scripts, and Jupyter notebooks for data processing.
Conducted unit tests to validate the computational framework.
Identified low spectral entropy (p < 0.01) across all manuscript sections.
Observed absence of prosodic rhythm with PLV < 0.03.
DETECT value was approximately 0.61.

Abstract

Dataset and source code for the RESON (Recompiler Estrutural Operacional) framework, a five-layer computational system for analyzing the Voynich Manuscript (Beinecke MS 408) as a formal instruction system. Includes Python source code, 14 exploratory scripts, 5 Jupyter notebooks, 77 unit tests, and full analysis results across 6 manuscript sections. Key findings: PLV < 0.03 (absence of prosodic rhythm), DET ~0.61, spectral entropy significantly low (p < 0.01) in all sections.

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Felipe José França da Silva (Wed,) studied this question.

synapsesocial.com/papers/69c08b6ba48f6b84677f8b4c — DOI: https://doi.org/10.5281/zenodo.19144690

RESON: A Five-Layer Computational Framework for Structural-Acoustic Classification of the Voynich Manuscript Using 51 Control Texts in 17 Language Categories

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