DeepSeek Harness Plugins
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dsh-funasr-voice

A DeepSeek Harness Web GUI plugin for fully local, offline microphone dictation using FunASR and SenseVoiceSmall.

Security & Policy
1GitHub Stars0ForksUpdated2026-08-26

Install

$ dsh plugin --profile <你的profile> add <本插件目录或仓库地址>

Plugin Overview & Capabilities

AI-assisted organization based on the public repository snapshot. The content must be grounded in source evidence and does not replace compatibility or security verification.

source-grounded
dsh-funasr-voice adds a microphone control to the DSH Web input flow. It captures audio in the browser, performs VAD, starts/proxies a local Python FunASR service, and inserts recognized text into the input box.

Key Capabilities

  • Captures microphone audio through AudioWorklet.
  • Uses VAD to segment continuous dictation.
  • Runs local FunASR with the SenseVoiceSmall model for offline speech recognition.
  • Fills recognized text into the DSH input draft and can optionally send it automatically.
  • Provides GUI settings and YAML configuration for Python and model paths.
  • Can auto-detect configured local Python and SenseVoiceSmall locations.
  • Removes SenseVoice event and emotion emoji from recognized text.

Useful For

  • Offline voice dictation in the DeepSeek Harness Desktop Web GUI.
  • Hands-free or faster drafting of DSH prompts.
  • Local speech-to-text workflows where audio is not uploaded to a remote ASR service.

Who It Fits

  • DeepSeek Harness Desktop users.
  • Users who have a local Python, FunASR, and SenseVoiceSmall environment.
  • Users seeking local Chinese and multilingual voice input.

Documented Limitations

  • Requires DeepSeek Harness Desktop, with version 2.0.2 identified as the development/test version.
  • Requires Node.js 20 or later on the plugin host side.
  • Requires a separately installed Python virtual environment, FunASR 1.4.x, torch, and a local SenseVoiceSmall model.
  • The README states that DSH Desktop 2.0.2 has a microphone-permission bug that can yield silent audio unless DSH Desktop is patched or officially fixed.
  • Initial recognition may take about 2–3 seconds while the model and torch initialize.
  • Recognition runs on local CPU according to the README.

DSH Compatibility

Version-specific runtime evidence collected by DSH Plugin. A missing result means we have not tested that combination yet.

Not tested yetNo runtime compatibility tests have been published yet.

Security Signals

Objective signals discovered from package metadata and source inspection. These are not a guarantee that a plugin is safe.

Dependency Counts

package.json declares 0 runtime, 0 development, 1 peer, and 0 optional dependencies.

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Dsh Bundle Declared

package.json declares DSH bundle metadata.

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License Declared

GitHub reports the repository license as MIT.

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Package Manifest Available

A root package.json was captured and can be inspected by the registry.

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Source Available

Public GitHub source metadata is available for this registry snapshot.

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Source & Registry Notes

Public provenance, Registry classification, and the latest source check for this entry, kept separate from runtime verification.

Source repository
fenglin-ai/dsh-funasr-voice
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin
Source checked
8128391 · 2026-08-27

This project is independently indexed from public source information. DSH Plugin is not affiliated with DeepSeek or the plugin author. Always check the author repository before installation.

Repository Activity

GitHub stars
1GitHub stars
Forks
0
Open issues
0
Last commit
2026-08-26
Last release
No release detected
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