@try-works/dsh-stt
适用于 DSH Web composer 的多模型本地语音转文字：可由用户选择 Whistle 和 Voz，并按需下载各模型。以 DSH bundle 形式提供。
插件会安装到这里；不确定时保持 web。
npx -y @deepseek-ai/dsh plugin --profile web add github:try-works/dsh-stt#8ea07c6cb1efb7f6aa46f4b16b9bac66ba8514f6
Stt 以 @try-works/dsh-stt 发布，当前版本为 0.2.6。Plugin Hub 会校验它的 manifest，并保存精确安装来源，便于复现安装结果。
Multi-model local speech recognition for the DeepSeek Harness Web composer.
Source and issues: github.com/try-works/dsh-stt.
A microphone appears between the model selector and Send. Click once and start talking — the recording ends on its own about a second after you stop speaking, and the transcript is inserted into the draft for review. You choose which on-device model transcribes, and nothing is downloaded until you choose it.
The recognizer is loaded when you start recording, not when you finish, so the wait happens behind your own voice instead of after it.
| Pick | Size | Languages | Notes |
|---|---|---|---|
| Whistle (Cactus Compute) | 18.4 MB | 7, auto-detected | default; loads in 30 ms, ~116 MB RAM |
| Voz (Desert Ant Labs) | ~390 MB | 25 | higher accuracy; ~1 GB RAM while warm |
| SenseVoice | — | — | coming soon — advertised only, downloads nothing |
Both working models were measured end-to-end on Windows and each transcribed a 7.62 s clip correctly: Whistle in 1.52 s using 116 MB, Voz in 2.39 s.
This is a rider on the shipped voice bundle: that bundle supplies the microphone UI and the speech service, and this package adds the models. Install both, in this order — layers apply in list order and a later layer wins for a given row id:
# The voice-bundle version MATTERS: plain `add` resolves the npm `latest` tag
# (0.1.7-alpha.1), which does not match a DSH 0.2.0-rc.2 runtime. Pin yours.
dsh plugin --profile web add @deepseek-ai/dsh-experimental-voice-input-bundle@0.2.0-rc.2
dsh plugin --profile web add @try-works/dsh-stt
Installing from a checkout instead of the registry works the same way:
dsh plugin --profile web add /path/to/dsh-stt.
Then open Settings → Plugins → Voice Input and pick a model. The picker lists every model with its size and time estimate; Download and prepare fetches only the one you selected.
cordis.patch.yml carries the whole configuration. Each model is a key under providers:
providers:
whistle-local:
enabled: true
voz-local:
enabled: false # keep 390 MB out of the picker entirely
sensevoice-local:
enabled: true # placeholder only
| Field | Meaning |
|---|---|
enabled | false stops the provider registering — it is never listed, selected or downloaded |
modelRoot | where that model's files live; defaults to <dataRoot>/<key> |
id | override the provider id (advanced; the selection is stored by id) |
name | override the display name shown in the picker |
dataRoot is required and must be an absolute path.
A silence gate watches the microphone level. Nothing stops until it has heard 300 ms of speech, so a cough or a door cannot end a recording before you have said anything; after that, 1.2 s of quiet ends it. The Stop button is still there, and Escape or switching away cancels and discards.
Because this needs the microphone level, the plugin ships its own browser half and registers it into the composer slot at a lower priority than the shipped microphone, which therefore stops rendering. That is also why the wait disappears: the same half asks the host to load the model the moment recording starts.
src/index.js register every enabled provider
src/config.js schemastery configuration
src/provider-kit/
http.js resumable download (see below)
preparation.js disk inspection + the state the UI renders
oneshot.js one process per recording
worker.js one warm process, idle-reclaimed
src/providers/whistle/ one-shot: needle.exe per recording
src/providers/voz/ warm worker holding the model
src/providers/sensevoice/ placeholder: advertises, never downloads
Whistle runs one process per recording. Its engine loads the 16.9 MB model in ~30 ms, so paying that per request buys real crash isolation and automatic memory reclamation. It also satisfies the engine's one process-global model per kind rule for free.
Voz runs as a warm worker because its load costs 6.2 s and about a gigabyte; the child persists between recordings and is released after five idle minutes.
Voz.load() fetches its 384,832,967 bytes with a single fetch per file and no retry, no resume and no
timeout. On a real connection that failed at 37.5% of the largest file, and a resumable retry hit three
more drops. Preparation therefore pre-populates Voz's cache with a resumable Range download, after which
Voz.load({ cache: true }) adopts the files without fetching.
src/providers/sensevoice/index.js.