testsAndMisc/linux_configuration/misc/README_clean_audio.md
Krzysztof kuhy Rudnicki 08aac8d7d1 Flatten i3-configuration and misc/testsAndMisc-bash
i3 config was filed under periodic_background, which it never was. It is
now linux_configuration/i3/ (config + installer) and
linux_configuration/i3blocks/ (the status scripts), both at depth 2.

misc/testsAndMisc-bash/ was a directory named after the repo it already
lived in, so its contents moved up to misc/. Its stray .gitignore came
along, keeping the media rules working from the new location; its
.vscode/tasks.json did not, because it invoked Bash/transcribe.sh, a path
this repo dropped long ago.

Most of this commit is the references the previous flatten missed. Its
regex skipped anything with a variable prefix, which left 16 files --
including check_and_enable_services.sh and install_core_system.sh, the
orchestrators -- still naming $CONFIG_DIR/scripts/periodic_background/...
It had also rewritten three i3 paths into scripts/i3blocks/, a directory
that has never existed; the i3blocks suites caught that by failing.

13 more symlinks broke on the i3 move. Repointed, and cpu_monitor/volume/
disk were run again to confirm the bar still reports.

Depth 139 -> 104. Roughly 47 of the remainder sit in digital_wellbeing
and hosts, still deferred. The rest encode real structure -- a C project,
Python package directories, artgate's routes/styles, systemd unit dirs --
so flattening them further would destroy information rather than
taxonomy.

Verified: 1798 tests at 100%, both i3blocks suites pass, the shell
coverage gate is clean, and the relocated media rules still ignore what
they should while test_fw.srt stays tracked.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01PJrqKERAo5QUeEHWS5Asgp
2026-08-23 19:02:18 +02:00

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# clean_audio.sh — automatic speech cleaning (FFmpeg)
This script batch‑cleans noisy speech recordings with ffmpeg using simple, reliable filters tuned for ASR (e.g., faster‑whisper). By default it REQUIRES RNNoise (arnndn) and will try to auto‑discover or download a model. You can opt‑in to fallback filters with `--allow-fallback`.
## Install
- Required: ffmpeg. Most distros: `sudo pacman -S ffmpeg` or `sudo apt install ffmpeg`.
- Recommended: ffmpeg with `arnndn` filter and an RNNoise model file (e.g., from Mozilla RNNoise community models). The script will auto-detect common model locations or download one via `Bash/get_rnnoise_model.sh`. You can pass a specific model with `-m /path/to/model.nn`.
Make executable:
```bash
chmod +x Bash/clean_audio.sh
```
## Quick start
- Single file, default ASR preset (16k mono, denoise, high‑pass, limiter):
```bash
Bash/clean_audio.sh path/to/file.wav
```
This produces `path/to/file_clean.wav`.
- Whole folder, 4 parallel jobs, output to `cleaned/`:
```bash
Bash/clean_audio.sh path/to/folder -O cleaned -j 4
```
- Use an RNNoise model explicitly (if your ffmpeg has arnndn):
```bash
Bash/clean_audio.sh input.wav -m models/rnnoise_model.nn
```
If you omit `-m`, the script will look in common locations; if not found, it will attempt a download via `Bash/get_rnnoise_model.sh`.
Advanced options and compatibility:
- The cleaner requires RNNoise by default. To allow non-ML fallback filters (afftdn), add `--allow-fallback`.
- The script uses advanced filter settings when available (e.g., afftdn with `md`). If your ffmpeg build lacks these options, it will error with guidance. Add `--no-advanced` (or `--compat`) to avoid such params.
- Podcast preset (adds dynamics and loudness leveling):
```bash
Bash/clean_audio.sh input.wav --preset podcast
```
## Options
```text
Usage: clean_audio.sh <input-file|input-dir> [options]
Options:
-O, --out-dir DIR Output directory (default: alongside input file).
-e, --ext EXT Output extension/container: wav|flac (default: wav).
-m, --model PATH RNNoise model file for arnndn; falls back to afftdn if unavailable.
--no-ml Do not use arnndn even if model is provided; use afftdn.
--preset NAME asr (default) | podcast | aggressive
-j, --jobs N Parallel jobs for directory mode (default: 1).
-f, --force Overwrite outputs if they exist.
-q, --quiet Reduce ffmpeg logging noise.
--lowpass FREQ Optional low-pass cutoff (e.g., 8000). Disabled by default.
--suffix SUF Suffix for output basename (default: _clean).
```
## Designed for ASR (faster‑whisper)
Default output format is mono, 16 kHz, PCM 16‑bit WAV—ideal for most Whisper/faster‑whisper pipelines. You can feed the cleaned files directly into your transcription step.
If you prefer FLAC to save space without quality loss:
```bash
Bash/clean_audio.sh input.wav -e flac -O cleaned
```
## Presets
- asr (default): light, ASR‑friendly cleanup; prevents clipping.
- podcast: adds gentle dynamics and approximate loudness normalization (single‑pass `loudnorm`).
- aggressive: heavier gate/dynamics; can suppress background more, but may slightly hurt ASR accuracy—use sparingly.
## Tips
- If you see artifacts from RNNoise, try without a model (uses `afftdn`), or add a low‑pass (e.g., `--lowpass 8000`).
- For extremely boomy bar recordings, raise high‑pass by editing `HIGHPASS` in the script or add `--lowpass`.
- If your ffmpeg lacks `arnndn`, you can install a newer build or keep the fallback (afftdn works fine for many cases). - If your ffmpeg is missing features, you can use the helper:
```bash
chmod +x Bash/install_ffmpeg_with_arnndn.sh
Bash/install_ffmpeg_with_arnndn.sh
```
It will suggest distro options or build FFmpeg from source with `--enable-librnnoise`.
RNNoise model downloader helper:
```bash
chmod +x Bash/get_rnnoise_model.sh
Bash/get_rnnoise_model.sh --yes
```
This saves a model into `Bash/models/` which the cleaner will auto-discover.
## Troubleshooting
- “arnndn not available”: Your ffmpeg wasn’t built with it. The script will use `afftdn` instead.
- Output sounds thin: lower the high‑pass (edit `HIGHPASS=80` in script to `60`) or remove low‑pass.
- Level too low/high: choose the `podcast` preset for auto leveling, or add your own `loudnorm` in post.
## License
This helper script is provided under the repository’s LICENSE.