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denoise

Remove background noise from an audio file.

Skill by danielrosehill

IndexedMIT★ 1
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/danielrosehill-denoise

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Remove background noise from an audio file. Cloud providers (Auphonic default, ElevenLabs, Dolby.io) or local (DeepFilterNet ML, ffmpeg afftdn non-ML). Use when the user asks to denoise, clean up noise, remove hum/hiss, or enhance speech audio before transcription.

Use cases: ml

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/denoise

What's inside

Skill name
denoise
Description
Remove background noise from an audio file. Cloud providers (Auphonic default, ElevenLabs, Dolby.io) or local (DeepFilterNet ML, ffmpeg afftdn non-ML). Use when the user asks to denoise, clean up noise, remove hum/hiss, or enhance speech audio before transcription.
License
MIT
Instructions
67 lines in SKILL.md · view on GitHub

Before installing

  • Instructions read files in your home folder (~/.ssh, ~/.aws…)

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Denoise audio

Reduce background noise in a speech recording.

## Before invoking — sanity check

If the goal is **transcription**, denoising is usually not necessary. POC at
https://github.com/danielrosehill/Crying-Baby-Audio-Scrub showed Whisper handles
moderate background noise (e.g. baby crying) without preprocessing — the cleaned
and uncleaned transcripts differed by only 5–6 word choices over 119 seconds.

Reach for this skill when:

- Severe noise is degrading even-for-humans intelligibility (wind, heavy traffic, music)
- Audio is destined for human listening rather than ASR
- ASR was tried on the raw audio and produced an unusable transcript

For mild/moderate noise prepping for transcription, skip this skill — go directly
to `preprocess-for-transcription` and then transcribe.

## Provider selection

Read `~/.config/claude-transcription/config.json` for `denoise_provider` and `prefer_local`. If config missing, default to **Auphonic** (cheapest cloud option).

User may override per-invocation: "denoise with elevenlabs", "use deepfilternet", "local denoise".

## Providers

### Cloud (default)

**Auphonic** (default — ~$0.15/hr equivalent)
- API: `https://auphonic.com/api/`
- POST to `/simple/productions.json` with `input_file`, `preset`, or direct algorithm flags (`denoise=true`)
- Requires `AUPHONIC_API_KEY`
- Docs: https://auphonic.com/help/api/

**ElevenLabs Voice Isolator**
- API: `https://api.elevenlabs.io/v1/audio-isolation`
- Requires `ELEVENLABS_API_KEY`

**Dolby.io Media Enhance**
- API: `https://api.dolby.com/media/enhance`
- Requires `DOLBY_API_KEY` and an input URL (upload to Dolby temp storage first)
- Expensive (~$0.50/min) — avoid unless user explicitly requests

### Local

**DeepFilterNet** (ML, CPU-efficient)
- Install: `uv tool install deepfilternet` or `pipx install deepfilternet`
- Run: `deepFilter <input.wav> -o <output.wav>`
- Works fine on CPU; AMD GPU support via ONNX Runtime ROCm is experimental and usually not worth the setup.

**ffmpeg afftdn** (non-ML, instant)
- `ffmpeg -i input.wav -af afftdn=nf=-25 output.wav`
- Lower quality but zero dependencies and immediate.

## Output convention

Write to `<source_stem>.denoised.<ext>` in the same directory as source, unless user specifies a path.

## Error handling

- If API key env var missing → report which var and which provider, suggest running `/configure`.
- If `ffmpeg` missing → tell user to install it.
- If cloud API returns error → report status + body, don't silently fall back.

From danielrosehill/Claude-Transcription-Plugin, MIT.

More from danielrosehill/Claude-Transcription-Plugin

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Last commit (this folder)
Apr 28, 2026 (6 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

denoise skill. Agent Mart. https://agentmart.dev/skills/danielrosehill-denoise (last updated 2026-10-24)