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Sound heritage

SacredTexts AI

AI analysis, concept graph and generative sonification of 48 sacred texts from 8 traditions. Born within the PNRR ITSERR research on AI and religious heritage.

Author's contribution
Design and development within the ITSERR research collaboration, author of the contribution From Text to Sound.
Context
  • Research, ITSERR / UNIMORE / FSCIRE, PNRR
Data
Corpus, graph and sonification run locally. The analysis goes from the device to Google Gemini, with the personal key of whoever uses the app.
SacredTexts AI
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Publication

Dal testo al suono: strumenti ermeneutici assistiti dall'AI per lo studio delle tradizioni religiose (From Text to Sound)

Zenodo, bilingual IT/EN conference paper, CC BY 4.0

DOI 10.5281/zenodo.20719806

The project

A PWA developed within the ITSERR / UNIMORE / FSCIRE (PNRR) research collaboration on artificial intelligence applied to religious heritage, presented with the From Text to Sound contribution at the ITSERR/RESILIENCE Superseminar 2026 (Zenodo, DOI 10.5281/zenodo.20719806). It uses Google Gemini to analyse a corpus of 48 sacred texts from 8 traditions (Christian, Jewish, Islamic, Hindu, Buddhist, Sufi, Taoist, Orthodox). It identifies the tradition, extracts key themes and concepts, and finds cross-references between cultures.

A force-directed graph in p5.js visualises conceptual connections; generative sonification in Tone.js renders the data as soundscapes with five presets (contemplative, crystalline, archaic, ethereal, rhythmic). Results export to JSON-LD and RDF with philological provenance. AI analysis requires a personal Gemini key; graph, corpus and sonification run locally.

Features

  • Corpus of 48 texts from 8 traditions
  • Gemini analysis with personal key
  • p5.js force-directed graph
  • Generative sonification, 5 presets
  • JSON-LD / RDF export with philological provenance
  • Bilingual IT/EN, installable

Characteristics

  • AI
  • Audio

Tech stack

  • JavaScript
  • p5.js
  • Tone.js
  • Web Audio API
  • Google Gemini API
  • PWA

Collaborations and research

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