dshbase

插件目录 / Content / dsh-plugin-tts

dsh-plugin-tts

已验证 · 实测可装 1624318455

✓ 持续维护 2 位贡献者 基于 2 个官方 DSH 包

查看 GitHub ↗ ← 返回插件目录

21Stars
5Forks
1未关闭 issue
JavaScript语言
2026-09-21最近推送
跨平台平台

功能简介

Edge TTS语音插件:朗读回复,自动朗读,语音设置

✅
我们的评价
可用 — 实测通过,社区增长中

Edge TTS语音插件:朗读回复,自动朗读,语音设置 实测能干净安装、正常启动。社区在增长,是个稳妥选择。

「已验证」表示我们的自动化 CI 在干净 profile 里实际执行了 dsh plugin add 并启动成功——仅此而已。功能描述与版本兼容性均为作者声明。这不是安全审计,也不代表对第三方代码的背书。

README

dsh-plugin-tts

dsh-plugin-tts

license Awesome node tests stars last commit

Links


dsh-plugin-tts — Edge TTS + RVC / Index-TTS2 / CosyVoice / Cloud voices for DeepSeek Harness

A dual-sided (Host + Web UI) DeepSeek Harness plugin that reads assistant replies
aloud — Microsoft Edge's free online TTS out of the box, your own RVC voice
models
for custom voices, local Index-TTS2 reference-audio voices,
local CosyVoice zero-shot prompt clones (CosyVoice-2.0-0.5B), or
paid Google Cloud TTS voices (Chinese Standard/Wavenet). Long replies stream
with gapless adaptive chunked playback; voices install one-click from a
voice-pack registry
; a portable RVC runtime means no RVC WebUI install is needed.

📖 First time? See the user guide (执行手册) — every step
covers "what / how / how to tell it worked": read-aloud, RVC voices and
voice-pack downloads.

Features

  1. Read-aloud button on every finalized assistant message (in the
    copy / feedback / branch action row): click to speak that message (the
    button shows an animated equalizer), click again to stop.
  2. Auto-read toggle in the composer tool row (between the command and the
    access-mode buttons): when on, every newly completed assistant reply is
    read aloud automatically (the toggle gets a circular highlight); when off,
    nothing is auto-read.
  3. Voice settings panel under 设置 → 插件 → 语音:
    • TTS provider: Edge TTS (free, no API key) / custom RVC voice /
      local Index-TTS2 voice / local CosyVoice clone / Google Cloud TTS (paid, API key)
    • Voice: 22 live-verified Edge TTS voices (default 晓萱 zh-CN-XiaoxuanNeural);
      8 Cloud voices in the cmn-CN group (default cmn-CN-Wavenet-A, free-form id allowed)
    • Sound tuning: rate / pitch / volume (0 = default, shared by Edge & Cloud)
    • CosyVoice config: service URL (default 7890) + prompt-audio picker/refresh/upload +
      speed (0.5–2.0) + seed (0 = random)
    • Cloud config: API Key (Host-file-only, write-only input) + Project ID (optional) +
      test button + this month's local usage per tier (Standard 4M / Wavenet-Neural2-Chirp3 1M)
    • Voice packs: one-click install of voices from a registry
    • Preview: type text and press the play (triangle) button — a spinning
      loader shows while it is synthesizing/playing (click again to stop),
      failures show an inline message.
  4. RVC custom voices: read with your own trained RVC models, computed
    locally (index-free mode, advanced params — see the
    RVC guide).
  5. Gapless long reads: adaptive chunked progressive playback — probe-calibrated
    chunk size, play-while-converting, Web Audio sample-accurate joins, no gaps
    between chunks (see the design doc).
  6. Mini player while reading: pause / resume + playback speed (1x / 1.25x /
    1.5x) on the message's action row; chunked long reads surface a visible
    "chunk x/y" counter.
  7. Themed tooltips & RVC onboarding: hover tooltips use the app's theme
    tokens (--dsw-*); the RVC panel opens with a first-time 3-step guide
    (per-OS startup commands + one-click diagnostics).
  8. Download audio: a download button on each message saves the synthesized
    audio (Edge base or RVC-converted) as an MP3 — reuses the in-session cache so
    a just-read message downloads instantly.
  9. Read selected text: selecting text in a message shows a floating
    "朗读选中" chip — click it to read just that selection.
  10. Streaming long reads (Edge too): long plain-Edge reads also stream
    progressively (first chunk plays while the rest synthesize), reusing the
    gapless chunked pipeline — no more waiting for full synthesis.
  11. Approval voice alerts: optional voice broadcast of Agent approval events.
    When enabled, an approval request (approval/asked) is announced aloud and
    interrupts the current read (the agent is waiting on the decision); an
    approval result (approval/decided) is announced only when idle. Alerts
    always use Edge TTS with their own alert voice (independent of the RVC
    service), are deduplicated by approval id, and off by default. (Scope note:
    task-completion announcements are deferred to a later phase — the jobs
    subsystem has no session-event channel this plugin can observe yet.)
  12. Clean reads, quiet RVC: message Markdown (code blocks, tables, links,
    quotes, task lists) is cleaned before reading — no symbol soup; an opt-in
    "read raw Markdown symbols" toggle keeps verbatim reads for source code.
    With the Edge provider the RVC panel stays fully hidden behind a single
    "need a cloned voice?" entry, so casual reading is zero-config.

Requirements

  • DeepSeek Harness web profile (dsh web)
  • Node.js >= 22 (the worker uses the native WebSocket)
  • For RVC custom voices only: a local RVC inference environment (an RVC WebUI
    or the portable runtime) and a running rvc-server.py. macOS users: see the
    RVC Guide → "启动本地 RVC 服务" and the
    User Guide §4.2.

Install

# published form:
dsh plugin --profile web add "github:1624318455/dsh-plugin-tts#main"
# or local development:
dsh plugin --profile web add "file:/path/to/dsh-plugin-tts"

Restart dsh web; the plugin then loads automatically as a profile bundle.

Voices (live-verified, Edge TTS)

Region Voices
Simplified Chinese Xiaoxuan 晓萱 · Xiaoyi 晓伊 · Yunxi 云希 · Yunyang 云扬 · Xiaoxiao 晓晓 · Yunjian 云健 · Yunxia 云夏 · liaoning-Xiaobei 晓北 · shaanxi-Xiaoni 晓妮
Taiwan HsiaoChen 曉臻 · HsiaoYu 曉雨 · YunJhe 雲哲
Hong Kong HiuGaai 曉佳 · HiuMaan 曉曼 · WanLung 雲龍
English Aria · Jenny · Guy · Sonia (UK)
Other Nanami 七海 (ja-JP) · SunHi (ko-KR) · Denise (fr-FR)

Note: legacy voices such as Xiaohan / Xiaomeng / Xiaorui / Xiaoshuang were
removed by the Edge endpoint (1007 Unsupported voice) and are not listed.

Architecture

Layer Location Role
Host lib/index.mjs Registers /dsh-tts-api/speak (synthesis / chunk queue), /dsh-tts-audio/<id> (audio), /dsh-tts-api/rvc-* (RVC inference / files / compact index / voice packs) webServer routes; runs a zero-dependency worker via node -e
Client lib/client.js Hidden <audio> host in shell.overlay + the UI entries (read-aloud button / auto-read toggle / settings panel); talks to the Host through fetch

The TTS worker mirrors [email protected]:
Sec-MS-GEC query params (ticks rounded to the 5-minute boundary),
Sec-MS-GEC-Version=1-143.0.3650.75, Path:audio binary framing, xml:lang
derived from the voice locale, one retry on abnormal (1006) closures. Audio is
audio-24khz-48kbitrate-mono-mp3.

Edge cases handled

  • Clicking the read button of the message being auto-read stops it; another
    message's button switches to manual reading.
  • Disabling auto-read never interrupts a manual read; it stops auto reads.
  • A newly completed message (auto on) interrupts the current read; text-less
    messages are skipped; session switches only stop auto reads.
  • Stopping / switching messages eagerly cancels the active RVC chunked job on
    the Host, so the local conversion service stops scheduling new chunks and
    releases GPU/memory promptly (no waiting for the lazy GC).
  • Repeatedly reading the same text + voice reuses the in-session audio cache
    (no re-synthesis); if the cached backing file was cleaned by the OS, it
    transparently re-synthesizes instead of serving a stale 404 URL.
  • If an Edge voice was removed by the endpoint (1007 Unsupported voice), the
    voice is pruned from the picker and the plugin auto-falls back to the default.
  • Audio is autoplay-unlocked on the first user gesture (Web Audio context
    resumed + silent clip) so reads aren't silently blocked by browser policy.
  • Esc / S (outside an input) stops the current read-aloud.
  • Synthesis / playback failures surface a themed toast (message read-aloud and
    auto-read no longer fail silently; the preview panel keeps its inline error).
    In RVC mode the error toast carries a one-click "read with Edge TTS instead"
    action; with the opt-in toggle "auto-switch to Edge TTS when RVC fails" in
    the RVC settings (off by default — RVC is fully local, auto-fallback sends the
    text to Microsoft's endpoint), a failed RVC read silently retries with the RVC
    base voice via Edge TTS and shows a warn toast.
  • Smart chunking never splits URLs / emails / decimals / versions ("3.14")
    mid-token — hard cuts slide to word/punctuation boundaries, and a tiny trailing
    sentence merges into the previous chunk instead of reading like a stutter.
  • Approval voice alerts (opt-in): the Host subscribes to the session/event
    firehose (approval/asked / approval/decided), dedupes by approval id, and
    the client polls /dsh-tts-api/notify?s=N — the first poll baseline-syncs the
    cursor so a page refresh never replays stale alerts; announcements are silent
    on failure (no error toasts while the agent loops).

Settings persistence

Layered storage:

  • Host file (~/.dsh/tts-rvc/settings.json, { version: 1, rvc: … }):
    service-class RVC config — service URL, model and index paths. Shared across
    browsers, survives browser-data clears and incognito. Served/updated through
    GET /dsh-tts-api/rvc-config + POST /dsh-tts-api/rvc-config-save
    (legacy localStorage values migrate up once, then the file wins).
  • localStorage (dsh-tts-settings): UI prefs only — voice, auto-read
    toggle, provider, sound tuning, the raw-Markdown toggle, approval-alert and
    remaining RVC prefs. Never stores the service URL / model / index.

A "Reset to defaults" button in the settings panel restores defaults and clears
both layers (best-effort on the Host file).

Custom voice (RVC)

Use your locally trained RVC model for voice conversion: switch the TTS
provider to "自定义音色(RVC)" in the settings panel. First-time RVC users
need two things
: a model file (.pth) and a running local RVC service — see
the RVC Guide or User Guide §4.2 for
macOS/Windows/Linux startup commands. The full story — service startup, panel
config, gapless chunked playback, compact index, voice-pack registry install,
portable runtime, settings reference and troubleshooting — lives in the
RVC Custom Voice Guide.

Public pack registry example: rvc-for-tts
(设置 → 语音 → 音色包 → registry URL: https://raw.githubusercontent.com/1624318455/rvc-for-tts/main).

Troubleshooting (Edge TTS)

  • 403 / Sec-MS-GEC rejected: the Edge endpoint protocol or version check
    changed; update CHROMIUM_FULL_VERSION / TRUSTED_CLIENT_TOKEN inside the
    worker in lib/index.mjs.
  • 1007 Unsupported voice: the selected voice was removed from the
    endpoint; pick one from the table above.
  • No sound: check system volume, the browser autoplay policy (interact
    with the page once), or the synthesis logs ([tts] errors in the dsh web
    console).

RVC-specific troubleshooting: RVC Guide → Troubleshooting.

FAQ

Q: Is it big?

  • Default experience (Edge TTS): the plugin itself is tiny (MB scale) — no service or model to download.
  • You only need a local RVC portable package if you want custom voices (RVC). Its size mostly comes from the bundled offline Python runtime + inference deps + pretrained models:
    Platform Archive Extracted
    macOS (Apple Silicon) ~660 MB ~1.3 GB
    Windows (CPU-minimal) ~1–2 GB ~2–3 GB
    Windows (with NVIDIA GPU) ~6 GB ~7 GB
  • These are self-contained runtimes; the full RVC WebUI is 7.8 GB — we don't ship the WebUI / training / realtime parts this plugin doesn't need.

Q: Are the dependencies big?

  • The runtime is heavy but you don't install anything: the portable package bundles Python, ffmpeg (Windows) / PyAV (macOS), and all inference deps. Unzip and run — no compile, no env setup.
  • The plugin itself has minimal deps and only loads what it actually uses.

Q: Do I need a local TTS model?

  • With the default Edge TTS: no — it synthesizes online (free).
  • With custom voices (RVC): you need your own RVC voice model (.pth), optionally a .index; the pretrained hubert / rmvpe are already bundled — you only provide your trained model.

Q: Is it easy to install?

  • Install the plugin normally, then for RVC: download the portable package for your platform → unzip → run the launcher (double-click .command on macOS, .bat on Windows) → drop your .pth into assets/weights → pick it in the plugin panel.
  • No compile, no manual Python/ffmpeg install. Note: the first macOS launch is slow (tens of seconds) while macOS scans the extracted runtimes (one-time); later launches take a few seconds.

Q: Do I need a paid API?

  • No. Edge TTS is free (no API key) and RVC runs fully locally and free.
  • Note: Edge TTS is Microsoft's public client-side, free capability — fine for personal use; check Microsoft's terms for commercial / heavy usage.

Q: Did this modify the DSH core?

  • No. It's an independent plugin loaded through dsh's plugin mechanism. It doesn't touch the DSH main program and can be installed / paused / uninstalled anytime without affecting DSH or other plugins.

Other common questions

  • Do I need a GPU? No — CPU works. For speed you can use Apple Silicon MPS (macOS) or an NVIDIA GPU (Windows, which needs the bigger CUDA torch build).
  • Privacy? RVC conversion is fully local — audio never leaves your machine. Edge TTS sends the text-to-read to Microsoft's endpoint for online synthesis (assess which voice before choosing).
  • Apple Silicon only? The macOS build is arm64 (M1–M5); Intel Macs would need a separate x86_64 build.

UI language (i18n)

The settings panel has an Interface language selector at the top:
Auto (follow browser) / 中文 / English.

  • Default "Auto" follows the browser/system language (Simplified Chinese and
    others → Chinese, everything else → English).
  • Switching applies immediately and is persisted to localStorage
    (dsh-tts-lang), surviving page reloads.
  • Covers the whole settings panel, bubble/read-aloud buttons, diagnostics,
    voice-pack panel, plus RVC service errors/progress hints.

Development

node tests/smoke.mjs   # fake-ctx route registration + real Edge TTS synthesis + audio serve assertions
npm run test:all       # full: smoke + live + patch + i18n + client-load

Hot-reload after editing lib/ (on Windows a file: install is a COPY, not a
symlink, so the running dsh reads the profile copy):

Copy-Item lib/* $env:USERPROFILE\.dsh\profiles\web\node_modules\@dsh-external\dsh-plugin-tts\lib\ -Recurse -Force
# then refresh the browser (bundles are re-read from disk per request; never use pnpm install --force)

Known limits

  • Voice / auto-read toggle / provider / RVC settings are persisted in layers
    (Host file for service config, localStorage for UI prefs — see "Settings
    persistence" above) and survive refresh (see "Settings persistence" above); the
    audio cache itself is in-session only (files live in the OS temp dir, cleaned
    by the OS), so a full restart re-synthesizes the first read of each text.
  • Synthesized audio is written to the OS temp dir and cleaned by the OS.
  • zh/en layout/visual fitting (English text is longer; may wrap/overflow; theme
    vars --dsw-*) must be eyeballed in the real dsh UI with the plugin loaded — this
    plugin ships no standalone HTML (its UI is slot-injected by the dsh web host), so
    it cannot be headless-screenshotted here (tests/client-load.mjs asserts the
    in-memory render only, not real DOM/CSS).

License

MIT

安装

🧩 让 Agent 自动装(推荐)

装一次目录插件,之后本站所有插件都能让 DeepSeek Harness 自动找、自动装:

dsh plugin add dshbase-catalog

然后对 agent 说「帮我装 dsh-plugin-tts」,它会在目录里找到并自动安装。文档:dshbase-catalog · 已验证场景包。

该插件是 GitHub 源码(未发 npm)——直接从仓库装:

Web profile:

dsh plugin --profile web add github:1624318455/dsh-plugin-tts

Headless(CLI)profile:

dsh plugin --profile headless add github:1624318455/dsh-plugin-tts

实测报告

验证通过:从 GitHub 源码完成 L1 安装 + L2 加载 + L3 运行(dsh 0.1.0-rc.6)。

使用场景

把 agent 变成写手——生成、编辑或本地化文本与媒体——用于内容密集任务。

适合谁

产出文档、帖子或营销文案、想让 agent 在同一循环里起草和修改的人。

二次开发建议

内容流水线和格式输出是缝——加模板、风格规则或导出目标。

安全:尚未扫描——我们的每日静态扫描将很快覆盖它。

分享徽章

Content 里更多

浏览全部 7797 个插件 →