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Plugin

dsh-soundtry

CixiSVesper282Updated 3d ago

Open on GitHub

Local audio understanding for DeepSeek Harness: transcription (whisper medium), rhythm, melody, chords, structure - six tools, fully offline. Needs a Python 3.10-3.12: point DSH at an existing environment (e.g. ComfyUI), or let the plugin create and install its own. Vocal separation runs UVR MDX-Net on onnxruntime, so torch is not required.

Practical score

84 / 100

Setup

Ready to use

License

MIT

Language

Python

Install

Quick start

Copy the command, or hand the whole task to your harness agent.

git clone https://github.com/CixiSVesper/dsh-soundtry.git
Install with your agent

Please install the DeepSeek Harness plugin "dsh-soundtry" for me. - GitHub repository: CixiSVesper/dsh-soundtry (https://github.com/CixiSVesper/dsh-soundtry) - Type: a Cordis plugin (installed into a DSH profile) - It should work out of the box with no extra c…

From the README

A cleaned excerpt from the project's own documentation.

dsh-cixisound DSH 的本地听觉插件 · 1.0.3(DSH-CixiSound) 让 agent 听得见声音: 转写、节奏、旋律、和弦、结构 六件套,全部在本机跑,零 API 费用。 - 人声分离默认走 UVR MDX-Net (onnxruntime 推理, 不需要 torch )——快嘴说唱上比 Demucs 还准 - 依赖是声明的,不是猜的 : deps.manifest.json 列清每一样;首次运行时自己装、自己下模型 - 权重不进仓库 :仓库只记 URL、字节数和 MD5,63.7 MB 的分离模型 + 1.46 GB 的 whisper medium 都在你机器上下 - 不可信的地方会自己说 :BPM 有 ambiguous / level / conflict 三态,切点双阈值同时报,和弦明说"根音可信、品质不可信" - 设置就在插件里 : 插件 → 已安装 → dsh-cixisound 详情页里有「声音分析」区块,可切 CPU/GPU、分离后端、模型;显存 运行要求 只要一个 Python 解释器,不需要 ComfyUI,也不需要机器上有 torch。 插件自带一个隔离 venv( runtime/venv ,建的时候 不加 --system-site-packages ), 依赖和模型全部落在插件目录里。ComfyUI 删掉不影响;机器上没装过 torch 也能跑。…

Open on GitHub

Project details

by
CixiSVesper
License
MIT
stars
28
Forks
2
Updated
Nov 8, 2026
Created
Oct 31, 2026
Language
Python
Indexed from
topic
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