doxa-maps/plugin-designs/rudder-voice
Doxa Maps c067a5d069 Dictation fell behind because our own build took every core
Rudder was measured slowing after about 1,400 words while a Tauri build
ran. The word count is incidental — it is a proxy for how long the build had
been going. The speech model runs on the CPU (backend/rudder-engine starts it
with --device cpu), and a Rust build saturates every core, so at equal priority
it starves the one process whose latency a person can hear.

Three changes, and the direction of the first is forced rather than chosen:

1. internal/desktop-build.mjs nices the whole build tree to 10, through the one
   run() helper every step goes through, so cargo, rustc and the linker inherit
   it. We nice the COMPETITOR because an unprivileged process cannot raise its
   own priority on Linux — a negative nice needs CAP_SYS_NICE — so "promote the
   ASR" would fail with EPERM. If nice(1) is missing the build still runs and
   says so, because a silent fallback would look exactly like the fix working.

2. cargo is capped at cores-1. nice decides who wins a CONTESTED core; it does
   not stop the build taking all of them, and a fully subscribed machine still
   adds scheduling latency to the audio path. An explicit CARGO_BUILD_JOBS is
   honoured rather than overridden.

3. yieldCPU reports its error instead of discarding it. It was
   `_ = syscall.Setpriority(...)`, which cannot fail visibly — a call that
   silently does nothing is indistinguishable from one that worked, and this one
   guards something audible.

Also, one real O(n) in the widget, found while checking studio's answer that the
collapsed pill already shows the last words: sendActivity split the ENTIRE draft
on every activity tick to take five words. Measured at 3,000 words: 1.61ms per
tick against 0.051ms for a bounded tail, 31x, with byte-identical output.

Verify the priority work with `ps -o ni=` on the running cargo processes, never
by any of these calls returning.
2026-09-29 05:26:25 +00:00
..
index.html Add Rudder (rudder-voice): offline streaming voice-to-text, a desktop-target plugin 2026-09-27 08:23:17 +00:00
index.js Add Rudder (rudder-voice): offline streaming voice-to-text, a desktop-target plugin 2026-09-27 08:23:17 +00:00
README.md Rudder: Robot voice — speak each sentence in a synthetic voice, offline, for videos without your real voice 2026-09-28 14:30:56 +00:00
rudder-voice.meta.json bun run desktop:build <plugin> packages a desktop plugin as an app; check:targets keeps non-web plugins out of the web build 2026-09-28 06:44:14 +00:00
rudder-voice.vue Dictation fell behind because our own build took every core 2026-09-29 05:26:25 +00:00

rudder-voice — Rudder, private voice-to-text (desktop target)

Rudder is a plugin that isn't a map. It shows that the same dx-maps pattern — one folder in plugin-designs/, developed live in the Plugin Studio — can ship a desktop app with its own local backend, not only embeddable maps. It is also a genuinely useful tool for the people who build here: talk to your agents instead of typing, with nothing leaving your computer.

  • Streaming. Words appear in the text box while you speak; talk for as long as you like.

  • Type and talk at once. Type, paste links or code anywhere in the box; everything you say is added to the end. While you're typing, Rudder holds its words and adds them when you pause.

  • CPU only. No graphics card. About 1 GB of memory; keeps up with normal speech on a laptop CPU.

  • Offline, no telemetry. NVIDIA Nemotron 3.5 ASR Streaming (0.6B) run by NVIDIA's open-source NeMo-Speech.cpp (ggml). Traced with strace while transcribing: zero sockets, zero DNS lookups.

  • Microphones like a video-call app. Pick the input, hot-plug updates, a 3-second mic test, and plain-language errors (muted, disconnected, dead Bluetooth mic link — which it tries to recover).

  • Robot voice (optional). Settings → Robot voice: every sentence you say is spoken back in a synthetic voice, so you can record a video that uses dictation without your real voice in it. Offline neural voices (Piper, run by the engine on the CPU) or the browser's own on-device voices; nothing leaves the computer. While the robot talks through loudspeakers, the engine stops listening, so it never transcribes itself; with headphones it keeps listening.

Run it in the Plugin Studio

bash backend/rudder-engine/setup-runtime.sh   # once: runtime + model (verified by SHA-256) + engine build
bun run dev                                   # starts the engine too; open "rudder-voice" in the studio

Linux with PipeWire or PulseAudio (parec, pactl). The engine listens on 127.0.0.1 only.

How it fits together

<rudder-voice> (this folder)  ──HTTP + SSE /api/rudder──►  backend/rudder-engine (Go)
                                                            ├─ parec / pw-record  (mic, open only while recording)
                                                            └─ WebSocket ► nemo-speech serve (127.0.0.1, model stays loaded)

bun run dev starts backend/bin/rudder-engine through internal/backend-dev-plugin.mjs and forwards /api/rudder to it, so the plugin calls the same API in the browser as it will inside the desktop app, where Tauri runs the engine as a sidecar and passes its address in profile-config (apiBase).

rudder-voice.meta.json declares "targets": ["desktop"]: on a plain website there is no local engine, so this plugin is not meant for web embeds.

Settings (environment variables)

Variable Default What it does
RUDDER_PORT 5193 engine HTTP port (loopback)
RUDDER_NEMO_PORT 5194 speech server port (loopback)
RUDDER_MODEL / RUDDER_NEMO_BIN ~/.local/share/rudder/... model and runtime paths; the engine refuses a model that isn't a local file
RUDDER_LANG en-US default language (the model supports ~30)
RUDDER_KEEP_MSBC unset keep Bluetooth headsets on mSBC instead of switching them to the more stable CVSD
RUDDER_BT_RESET unset optional command that fully resets a Bluetooth headset, used when its mic link dies

Not yet

  • Desktop build (desktop:build) with the engine as a Tauri sidecar.
  • A saved word-correction table (PocketBase) for technical terms the model mishears.