Sema – Live Coding Language Design Playground
Sema is a playground where you can rapid prototype mini-languages for live coding that integrate signal synthesis, machine learning and machine listening.
Sema provides an online integrated environment that implements support for designing both abstract high-level languages and more powerful low-level languages.
Sema implements a set of core design principles:
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Integrated signal engine — There is no conceptual split between the language and signal engine. Everything is a signal.
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Single sample signal processing – Per-sample sound processing including techniques that use feedback loops, such as physical modelling, reverberation and IIR filtering.
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Sample rate transduction — It is simpler to do signal processing with one principal sample rate, the audio rate. Different sample rate requirements of dependent objects can be resolved by upsampling and downsampling, using a transducer. The transducer concept enables us to accommodate a variety of processes with varying sample rates (video, spectral rate, sensors, ML model inference) within a single engine.
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Minimal abstractions — There are no high-level abstractions such as buses, synths, nodes, servers, or any language scaffolding in our signal engine. Such abstractions sit within the end-user language design space.
Dependencies
Sema requires the following dependencies to be installed:
How to build and run the Sema playground on your machine
cd sema
yarn
yarn build
yarn dev