3274375092/dsh-voice 预览 preview

3274375092/dsh-voice

DeepSeek Harness 的语音输入插件:麦克风 → 本地/浏览器语音识别 → 文本作为普通聊天消息提交。仅输入且与预设无关。

项目介绍Project Overview

DSH 语音输入插件:为 DeepSeek Harness 网页界面提供麦克风按钮和可配置全局热键(默认 Ctrl+Space),说话后识别文本作为普通聊天消息提交。核心能力是基于 sherpa-onnx-node zipformer2 加 silero VAD 的原生离线识别,并在无模型时自动回退到浏览器 Web Speech,零配置可用。适用于任何不想打字、想用语音驱动对话的场景;插件仅做输入,不修改智能体预设或人设。注意:原生识别引擎需手动安装 sherpa-onnx-node 插件并通过 dsh-voice-models 下载约 100MB 模型。

DSH Voice is a plugin for DeepSeek Harness that adds voice input to the web UI via a microphone button and a configurable global hotkey (Ctrl+Space by default). Recognized text is submitted as a normal chat message, leaving the agent preset and persona untouched. The core capability is adaptive dual-engine recognition: a host-native engine using sherpa-onnx-node zipformer2 with silero VAD for offline/private ASR, automatically falling back to the browser Web Speech API when no model is available, so zero-config users keep working with streaming partial transcripts and VAD-based finalization. Use it whenever typing is inconvenient. Caveat: native recognition requires manually installing the sherpa-onnx-node plugin and downloading roughly 100MB of models.

或使用命令行安装(适合开发者)Or use CLI install (for developers)

命令行安装CLI Install

dsh plugin --profile web add @nn12138/dsh-voice

3274375092/dsh-voice 加入你的 DSH 配置(web profile)即可启用。

READMEREADME

dsh-voice 🎤

English | 中文

A voice input plugin for DeepSeek Harness: click 🎤 in the web UI (or press a hotkey), speak, and the recognized text is submitted as a normal chat message. Input only — it never touches the agent preset/persona, so it behaves like "another input method" in every mode.

npm License

Features

  • 🎤 Voice input: microphone button (platform design-system UI) + configurable global hotkey (Ctrl+Space by default)
  • Live recognition: streaming partial transcripts are echoed while you speak; VAD finalization commits on stop (0.6s tail padding keeps sentence endings)
  • 🧠 Adaptive dual engine: host-native ASR (sherpa-onnx-node zipformer2 + silero VAD, offline/private) with automatic fallback to browser Web Speech (zero extra dependencies)
  • 🔌 Preset-agnostic: does not touch the persona/system prompt; works with code/standard/minimal/custom presets
  • 📦 Optional models: zero-config out of the box; run dsh-voice-models when you want native offline recognition

Installation

# Plugin
dsh plugin --profile web add @nn12138/dsh-voice

# Optional: offline native recognition (the plugin does not auto-install this runtime)
dsh plugin --profile web add sherpa-onnx-node
dsh-voice-models            # one-shot model download (~100MB) → ./dsh-voice-models

# Optional: configuration (edit ~/.dsh/profiles/web/cordis.patch.yml)
- id: voice
  config:
    modelDir: './dsh-voice-models'   # native ASR model directory
    hotkey: 'ctrl+space'             # global hotkey
    vadThreshold: 0.3                # lower = less clipping at sentence boundaries
    tailPadSeconds: 0.6              # tail-padding duration
    engine: auto                     # auto (default) | native | browser

The row-level config is received by the host half. engine and hotkey are synced to the browser half over the /voice.config loopback RPC, so there is no separate client config to write. auto probes host native capability: with a model it uses native; without one it falls back to Web Speech, so zero-config users keep working. Restart dsh web after changing the config.

dsh web   # 🎤 button appears on the left of the composer, or press Ctrl+Space

See USAGE.md and INSTALL.md (Chinese) for details.

How it works

Browser captures mic audio (auto-resampled to 16 kHz)
  → PCM base64 chunks (256 ms) → /voice RPC channel (loopback)
  → host: silero VAD + zipformer2 streaming decode
  → partials returned per chunk (live echo) / finals committed
    (VAD segmentation + 0.6s tail padding)
  → conversation service submits the text (same path as typing)

Engine selection: the host resolves the effective engine (config + model-load result) and the client consumes it via /voice.ping — native unavailable falls back to browser Web Speech. /voice.config carries the row-level engine/hotkey from host to client.

Development

pnpm install --ignore-workspace        # standalone deps (no DSH monorepo needed); no install-time scripts
pnpm --ignore-workspace test           # unit tests (including real-model smoke tests)
pnpm --ignore-workspace typecheck      # type check
pnpm --ignore-workspace build          # build (tsc host half + tsdown client half)
pnpm --ignore-workspace verify:package # pack-level checks: scripts-free install, complete runtime files

The build only ever runs on the publisher's side (prepack — at npm pack/npm publish time) and in CI before release; consumers installing @nn12138/dsh-voice from the registry never execute lifecycle scripts, so --ignore-scripts installs are complete and usable (see issue #2).

Real-model smoke tests look for the local voxelf assets and skip when absent; override with: DSH_VOICE_MODEL_DIR (model directory) / DSH_VOICE_TEST_WAV (test wav) / DSH_VOICE_DOWNLOADED_MODELS (downloaded model directory).

Layout: src/index.ts (host half) / src/client/ (browser half) / src/core/ (recognition core) / tools/ (wire-protocol smoke tools + model downloader).

License

MIT

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