Frame Dictation
Standalone, on-device voice typing for Steam Frame.
Status: project scaffold and design only. The executable prints help/version; it does not yet render an overlay, open a microphone, load a model or type text.
Planned path: OpenVR overlay → local Parakeet Redux CPU inference → Gamescope Unicode input. No external application checkout, library, submodule, desktop inference server or running scene host is required.
Distribution goal: one-command installation from GitHub releases, entirely user-local, with no Steam store AppID. See the installer design. There is no working installer or published release yet.
For a read-only check of proposed release prerequisites on a Frame, run
sh scripts/install-preflight.sh. It checks Linux AArch64/glibc and bootstrap
tools, reports system Python (3.12+ for a possible source worker), Git and uv.
Git and uv are not required for the planned bundled release. This check downloads
and installs nothing; passing it does not mean an install or dictation works.
Build the scaffold
Requirements: CMake 3.20+ and a C++20 compiler. No third-party packages or downloads.
cmake -S . -B build
cmake --build build
ctest --test-dir build --output-on-failure
./build/frame-dictation --help
This is a host-native scaffold build, not an ARM64 deployment or headset test. Future OpenVR, audio and inference integrations must be explicitly configured; configuration/build/tests must never install packages or launch SteamVR implicitly.
Project map
- Design: UI, local inference, input backend and acceptance gates.
- Frame API evidence: successful mixed-script Unicode test and overlay-client initialization; known limits.
- Installer design: GitHub install, standalone OpenVR identity, packaging, upgrades and uninstall.
- Provenance: origin of the investigation, model/runtime pins.
src/main.cpp: inert CLI entry point.tests/cli.cmake: hardware-free scaffold smoke test.scripts/install-preflight.sh: read-only proposed packaging prerequisite check.- Agent guidance: project boundaries and safe validation.
First implementation gate: an isolated ARM64 CPU trial of the pinned Redux model. Then a minimal overlay and explicit insertion into a disposable target. Neither inference nor an overlay is implemented here yet. No model weights, recordings, credentials, engine assets or runtime binaries are included.