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@ttm

rfabbri

ttm
Modena

I build open-source tools and open knowledge for sensory stimulation,
computational music, signal processing and scientific interoperability.

That work includes SSTIM, an open vocabulary and specification for
representing sensory-stimulation protocols, so experiments and devices can
describe what they do in terms other tools understand; and
music, a Python package for
extreme-fidelity synthesis of musical elements implementing the MASS
framework, maintained in the open since 2016 with every release archived and
citable.

Sponsorship pays for the unglamorous work that keeps scientific software
trustworthy: fidelity tests, full coverage, documented equations, releases
that still reproduce years later. It also buys the time to keep the
specifications open and vendor-neutral instead of folded into a product.

For institutions and companies: I take on commissioned features,
integration and interoperability work, and sponsored development. Results
are released under the same open licenses, so you get the implementation,
the expertise behind it, and no lock-in. Get in touch to discuss scope.

Featured work

  1. ttm/music

    Extreme-fidelity synthesis of musical elements, based on the MASS framework

    Python 63
  2. ttm/mass

    MASS (Music and Audio in Sample Sequences) is a mathematical and computational framework relating musical elements to PCM audio samples

    Python 22
  3. laBioSynCare/laBioSynCare.github.io

    SSTIM, the Sensory Stimulation Ontology — OWL 2 + multilingual SKOS + SHACL — and BSC Lab, the open web app that browses, queries and authors it. Stable w3id.org IRIs, immutable versioned releases,…

    JavaScript 6
  4. w3c-cg/sstim

    SSTIM: the open formalized knowledge standard for describing sensory stimulation. RDF vocabulary, SHACL profiles, JSON-LD context, and SSTIM Workbench, its open reference environment. Developed in …

    JavaScript 1

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