Public Voiceprint Rendering (PVR): Auditable Generation of Editable SVG Art from Aggregate Public Discourse

Public Voiceprint Rendering (PVR): Auditable Generation of Editable SVG Art from Aggregate Public Discourse | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 21 January 2026 V1 Latest version Share on Public Voiceprint Rendering (PVR): Auditable Generation of Editable SVG Art from Aggregate Public Discourse Author : Yuusuke Harada 0009-0006-7252-5115 [email protected] Authors Info & Affiliations https://doi.org/10.22541/au.176901900.04759625/v1 100 views 55 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract We introduce Public Voiceprint Rendering (PVR), a reproducible pipeline that converts aggregate public discourse into editable vector art. PVR first extracts a bounded, low-dimensional voiceprint v ∈ [0,1]^d from a corpus using interpretable estimators (lexical markers and, optionally, embedding aggregates). A deterministic renderer then maps v to a hash-stable SVG artifact under monotone and bounded parameter constraints, enabling auditable attribution from discourse properties to visual structure. We emphasize ethics-by-design: the pipeline can operate on synthetic corpora or license-clear public sources, retains only aggregate features, and avoids biometric or speaker-identification use (here, "voiceprint" denotes a corpus-level signature, not a biometric voiceprint). In a counterfactual population-mixture study, re-rendering is deterministic (hash match 10/10 across reruns), and a normativity-to-repetition mapping is strictly monotone (Spearman ρ=1.0, p < 1e-6). We report a human-free evaluation suite covering determinism, sensitivity, separation, robustness, and ablations, and provide implementation details to support end-to-end regeneration of figures and tables. Supplementary Material File (pvr_draft_discussion_expanded_final.pdf) Download 435.34 KB Information & Authors Information Version history V1 Version 1 21 January 2026 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords data-to-art generative art privacy-by-design procedural graphics reproducible pipelines svg Authors Affiliations Yuusuke Harada 0009-0006-7252-5115 [email protected] Hiroshima University View all articles by this author Metrics & Citations Metrics Article Usage 100 views 55 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Yuusuke Harada. Public Voiceprint Rendering (PVR): Auditable Generation of Editable SVG Art from Aggregate Public Discourse. Authorea . 21 January 2026. DOI: https://doi.org/10.22541/au.176901900.04759625/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . 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