GooDAnDReaDY/dsh-tts

Plugin插件 Native原生 ⭐ 2 MIT Vision & Media视觉与多媒体

Multi-Provider Text-to-Speech Voice Synthesis with Local Neural Engines, Sub-300ms Streaming, IT Dictionary & Messenger Integration for DeepSeek Harness

catalog descriptioncatalog 简介 / catalog description:Natural speech synthesis plugin for DeepSeek Harness (TTS, multi-engine, sanitizer)

Project Overview项目介绍

This is a text-to-speech plugin for DeepSeek Harness. It supports a multi-provider fallback chain including local offline neural engines, delivers sub-300ms latency streaming audio, with built-in text scrubbing and IT terminology dictionary, and messenger integration. Use it to convert assistant replies to speech. Restart DSH Web UI after installation for it to work properly.

这是DeepSeek Harness的文本转语音插件,支持多提供商回退链,包含本地离线神经引擎,可实现低于300毫秒延迟的流式语音合成,内置智能文本清洗和IT术语发音词典,支持即时通讯工具集成。需要将助手回复转语音时使用,安装后需重启DSH网页端才能生效。

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

CLI Install命令行安装

dsh plugin --profile web add @goodandready/dsh-tts

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

READMEREADME

📦 @goodandready/dsh-tts

Multi-Provider Text-to-Speech Voice Synthesis with Local Neural Engines, Sub-300ms Streaming, IT Dictionary & Messenger Integration for DeepSeek Harness

npm version license DSH Plugin Node version

All Author Projects

🇬🇧 English🇷🇺 Русский🇨🇳 中文说明

If you like this plugin, please star it on GitHub — it shows me that the plugin is useful to you and motivates me to keep developing it.

🐛 If you find a bug or would like to request a feature, open a GitHub issue in any language — I will review your proposal and implement useful suggestions in a future plugin version.

⚡ Overview

dsh-tts provides robust, lifelike spoken voice synthesis for assistant replies in the DeepSeek Harness Web UI. When Speak agent replies is enabled, each finished assistant turn or real-time streaming chunk is synthesized on the host and streamed directly to the browser.

API keys never reach client browsers: synthesis is executed entirely on the host backend across independent multi-provider fallback chains, including local system engines (Edge TTS, Piper, eSpeak). Kokoro-82M and F5-TTS weights can be downloaded for future runtime support, but neural inference is not bundled in this package — those providers fail honestly and the chain continues.

graph LR
    subgraph Input [Assistant Message]
        Reply[💬 Agent Reply Text] --> Scrub[Smart Text Scrubbing & IT Dictionary]
    end

    subgraph Stream [Low-Latency Streaming]
        Scrub --> SSE[SSE /dsh-tts/stream]
        SSE --> Worklet[AudioWorklet PCM Processor]
    end

    subgraph Cache [Performance Layer]
        Scrub --> LRU{Disk LRU Cache}
        LRU -->|Cache Hit| Play[Immediate Audio Playback]
    end

    subgraph Fallback [TTS Provider Fallback Chain]
        LRU -->|Cache Miss| Chain{Active Chain}
        Chain -->|Offline| P1[Edge TTS / Piper / eSpeak]
        Chain -.->|Cloud Neural| P2[OpenAI / ElevenLabs / Google / Azure / Groq]
        Chain -.->|OpenAI-compatible| P3[SiliconFlow / DeepInfra / Fireworks / OpenRouter]
        Chain -.->|Other| P4[MiMo / MiniMax / Custom]
    end

    subgraph Output [Delivery & Integrations]
        P1 --> Store[Save to Cache]
        P2 --> Store
        P3 --> Store
        P4 --> Store
        Store --> Play
        Store --> Msg[Telegram / Discord via dsh-messenger-gateway]
    end

    style Input fill:#1e1e2e,stroke:#89b4fa,stroke-width:2px,color:#cdd6f4
    style Stream fill:#181825,stroke:#89dceb,stroke-width:2px,color:#cdd6f4
    style Cache fill:#181825,stroke:#cba6f7,stroke-width:2px,color:#cdd6f4
    style Fallback fill:#11111b,stroke:#a6e3a1,stroke-width:2px,color:#cdd6f4
    style Output fill:#181825,stroke:#f38ba8,stroke-width:2px,color:#cdd6f4

🚀 Key Features

1. 📴 Offline system engines + optional future neural runtimes

  • Edge TTS / Piper / eSpeak: fully offline or free local/system synthesis without cloud API keys (Edge needs the edge-tts CLI).
  • Kokoro-82M / F5-TTS: weight download and status UI only. Neural inference is not bundled in this package — those providers fail with a clear reason and the fallback chain continues. Do not enable them expecting speech until a supported runtime is wired.
  • ModelManager UI: Direct manual installation in settings with real-time download progress bar, SHA-256 validation, and deletion. No silent or automatic multi-gigabyte downloads.

2. ⚡ Real-Time Streaming Audio (< 300 ms Latency)

  • AudioWorklet (TTSWorklet): High-performance Web Audio Worklet processor playing seamless Float32Array PCM chunks at 24 kHz without audible clicks or buffer underruns.
  • Server-Sent Events (SSE): Dedicated /dsh-tts/stream route delivering synthesized chunks to connected browsers instantly.

3. 🎙️ Voice Duplex & VAD Barge-In (with @goodandready/dsh-voice)

  • Full-Duplex Conversation: Automatic voice reply synthesis upon completion of speech dictation.
  • VAD Barge-In: Immediately mutes assistant speech playback when user voice activity is detected.
  • Installation Guard: If @goodandready/dsh-voice is not present, settings controls are disabled with an explicit instruction banner (dsh plugin --profile web add @goodandready/dsh-voice).

4. 📚 Built-in IT Terminology Pronunciation Dictionary

  • Pre-configured Lexicon: Correct phonetic pronunciation for common technical abbreviations and developer terms:
    • SQL $\rightarrow$ "сиквел"
    • Nginx $\rightarrow$ "энджинкс"
    • Kubernetes / K8s $\rightarrow$ "кубернетис"
    • Docker $\rightarrow$ "докер", API $\rightarrow$ "апи", JSON $\rightarrow$ "джейсон", YAML $\rightarrow$ "ямл"
    • GUI, CLI, CI/CD, PR, Regex, OAuth, HTTP, HTTPS, CPU, GPU, RAM
  • Interactive UI Editor: Edit rules, preview phonetic substitutions with the ▶ Listen button, and populate standard IT terms with one click.

5. 👥 Multi-Agent Personas & Subagent Voice Overrides

  • Assign distinct voices, providers, models, and audio chimes to individual subagents (e.g. coder, reviewer, planner, tester).
  • Subagent Auto-Detection: With autoDetectSubagent enabled, incoming turns automatically match subagents by message metadata (subagent, agent, author, name) and dynamically apply voice, rate, and SSML style presets.

6. 💾 Audio Clip Export & Speech History

  • Export any spoken utterance directly to an audio file (.wav / .mp3) via exportAudioClip(text).
  • Instant download buttons () integrated directly into the input dock speaker control and recent utterances dropdown list.

7. 💬 Messenger Voice Notes Integration (with @goodandready/dsh-messenger-gateway)

  • Generates voice audio for Telegram and Discord bot replies via POST /dsh-tts/speak.
  • Protective dependency check with installation hint when gateway plugin is missing.

8. 🌐 Canonical English & Chinese Localization (EN + ZH)

  • Complete built-in English (en) and Chinese (zh) UI and speech template dictionaries.
  • Centralized Russian localization provided via @goodandready/dsh-russian-lang through Gitea issue tracking.
  • Smart boundary tokenizer supporting CJK full-width punctuation (。!?), abbreviations, file extensions, and IP/version numbers.

🛠️ Complete Supported Providers Matrix (18 Backends)

Provider Key Service Backend Default Model Default Voice Credential Ref Features & Notes
kokoro Local Kokoro-82M ONNX hexgrad/Kokoro-82M af_bella None Weights downloadable; ONNX inference not bundled — fails honestly
f5 Local F5-TTS GPU Daemon F5-TTS Default None Daemon ping only; GPU inference not bundled — fails honestly
elevenlabs ElevenLabs API eleven_multilingual_v2 Rachel ELEVENLABS_API_KEY Ultra-realistic, emotional nuance
openai OpenAI Audio gpt-4o-mini-tts / tts-1 alloy OPENAI_API_KEY High-quality industry standard
edge Microsoft Edge Online ru-RU-SvetlanaNeural ru-RU-SvetlanaNeural None Free, high-fidelity neural TTS without API keys
siliconflow SiliconFlow CosyVoice FunAudioLLM/CosyVoice2-0.5B Default SILICONFLOW_API_KEY State-of-the-art CosyVoice2 neural engine
deepinfra DeepInfra Kokoro hexgrad/Kokoro-82M Default DEEPINFRA_API_KEY Fast open-weights Kokoro synthesis
fireworks Fireworks AI kokoro Default FIREWORKS_API_KEY Ultra-low latency Kokoro inference
minimax MiniMax Speech speech-01-turbo Default MINIMAX_API_KEY High-expressiveness neural voice
mimo Xiaomi MiMo Audio mimo-v2.5-tts Default MIMO_API_KEY Low-latency streaming TTS
google Google Cloud TTS gemini-2.5-flash-preview-tts Language default GEMINI_API_KEY Multilingual Google Gemini voice synthesis
azure Azure Cognitive Speech en-US-JennyNeural Region default AZURE_SPEECH_KEY Enterprise neural synthesis
deepgram Deepgram Aura aura-asteria-en asteria DEEPGRAM_API_KEY Ultra-low latency voice output
groq Groq TTS playai-tts default GROQ_API_KEY Near-instant inference speed
openrouter OpenRouter Audio openai/gpt-4o-mini-tts alloy OPENROUTER_API_KEY Unified router access
custom Custom OpenAI-compatible Configurable Configurable CUSTOM_TTS_API_KEY Any /v1/audio/speech endpoint
piper Local Piper ONNX Local ONNX weights Model default None 100% offline neural engine
espeak Local eSpeak NG System synth ru / en None 100% offline lightweight fallback

🧹 Smart Text Scrubbing & Formatting Engine

Before text reaches speech synthesizers, dsh-tts intelligently sanitizes and filters the message so the assistant doesn't read out syntax noise:

  • Fenced Code Blocks: Spoken as "code block, N lines" / "блок кода, N строк".
  • Markdown Tables: Spoken as "table, N rows" / "таблица, N строк".
  • Summary Intros: Spoken as "Summary of the reply" / "Пересказ ответа".
  • Narration Filters: Skip asterisk actions (*smiles*), narrate quotes only, and apply custom regex removal.

📦 Quick Installation

dsh plugin --profile web add @goodandready/dsh-tts

[!IMPORTANT] Restart DSH Web UI after installation (systemctl --user restart dsh-web) and refresh your browser tab.


⚙️ Configuration Recipes (settings.yaml)

dsh-tts:
  speakReplies: true
  enableLocalEngines: true
  kokoroEnabled: true
  streamingEnabled: true
  enableItDictionary: true
  voiceDuplexEnabled: true
  vadBargeIn: true
  messengerTtsEnabled: true
  cache: true
  cacheMaxMb: 150
  autoDetect: true
  chain:
    - provider: edge
    - provider: espeak
      voice: ru-RU-SvetlanaNeural
    - provider: openai
      model: tts-1
      voice: alloy
  roles:
    coder:
      provider: openai
      voice: onyx
    reviewer:
      provider: edge
      voice: ru-RU-DmitryNeural

Settings UI coverage

The plugin settings card (Settings → Plugins → Plugin settings) exposes every user-facing schema field, including an Advanced block for maxChars, sentenceChars, timeoutMs, maxQueue, openaiBaseUrl, mimoBaseUrl, mimoFormat, and minimaxBin.

Provider API keys are never stored in plugin settings. Paste them in the chain editor; values go to the DSH credential store via PUT /dsh-tts/credential.

Config-only (not in the card): *KeyEnv fields (openaiKeyEnv, elevenlabsKeyEnv, …). They only rename the credential slot the plugin looks up. Change them in settings.yaml if you must rebind a key name; the defaults match the usual environment variable names.

The sidebar settings.section entry is a fallback and is registered only when settings.plugin.item is missing from the build.

🤖 HTTP Endpoints Reference

  • GET /dsh-tts/stream — Real-time Server-Sent Events (SSE) audio streaming.
  • POST /dsh-tts/speak{ text, voice?, model? } → Returns synthesized audio.
  • POST /dsh-tts/preview{ provider, model, voice, text? } → Test voice playback in UI.
  • GET /dsh-tts/models/status — Reports Kokoro/F5 weight installation states (download only; inference not bundled).
  • POST /dsh-tts/models/install{ engine: 'kokoro' | 'f5' } → Starts HuggingFace model download.
  • DELETE /dsh-tts/models/delete{ engine: 'kokoro' | 'f5' } → Removes local model files.
  • GET /dsh-tts/integrations — Status of sibling plugins (dsh-voice, dsh-messenger-gateway).
  • GET /dsh-tts/status — Returns active chain state, cache statistics, and engine readiness.

📄 License

MIT © GooDAnDReaDY

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