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:

• Integrated signal engine – There is no conceptual split between the language and signal engine. Everything is a signal.

• Single sample signal processing – Per-sample sound processing including techniques that use feedback loops, such as physical modelling, reverberation and IIR filtering.

• 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.

• 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.

Sema requires the following dependencies to be installed:

• Chrome browser or any Chromium-based browser—e.g. Brave, Opera, Microsoft Edge (yep!)
• Node.js version 8.9 or higher
• NPM cli OR Yarn

cd sema
yarn
yarn build
yarn dev

Livecoding with the default grammar

Sema Intermediate Language

Data storage and loading

Maximilian DSP Library API