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Krzysztof kuhy Rudnicki
4f2b0ccdf7
Two levels of pure taxonomy carrying no information, and a 2-directory
cap leaves no room for them. Categories now sit directly under
linux_configuration/: features, fixes, utils, misc, fresh-install,
installers, diagnostics, gaming, boot_recovery, periodic_background, lib,
meta, tests. A script's own lib/ and tests/ are exempt from the cap, so
those stay put.
Depth violations 248 -> 139; roughly 40 of the remainder are inside
digital_wellbeing and hosts, deferred until the guard-lib repoint.
The moves are the easy half. What breaks is every path that counted
levels, and three classes of it had to be found by resolving paths rather
than reading diffs:
- 52 relative `source` lines for lib/common.sh and lib/android.sh. The
correct prefix differs per file: 40 were ../../ and 12 were ../../../,
so a blanket replace would have fixed one set and broken the other.
- REPO_ROOT in 7 fixes/lib/tests harnesses and setup_syncyomi_guard.sh,
each walking up four levels from a directory now two levels shallower.
This caused a real regression -- the fixes suite went red with
"log_warn: command not found" -- caught by running it and comparing
against the pre-move baseline worktree.
- conftest.py's sys.path entries, which took the pytest gate down with
14 collection errors, and the `# shellcheck source=` directives, which
took shellcheck down with SC1091.
16 symlinks in $HOME broke, including the entire i3blocks bar. All
repointed, and cpu_monitor/memory/disk/time/volume were run to confirm
they emit real output rather than merely resolving.
Verified: 1798 tests pass at 100% coverage, 8 of 9 lib/tests suites pass
(the ninth needs the coverage jail, identically at baseline), pre-commit
is clean, and the two untracked secret configs are still ignored after
their gitignore paths changed.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01PJrqKERAo5QUeEHWS5Asgp
114 lines
4.4 KiB
Markdown
114 lines
4.4 KiB
Markdown
# clean_audio.sh — automatic speech cleaning (FFmpeg)
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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`.
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## Install
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- Required: ffmpeg. Most distros: `sudo pacman -S ffmpeg` or `sudo apt install ffmpeg`.
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- 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`.
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Make executable:
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```bash
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chmod +x Bash/clean_audio.sh
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```
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## Quick start
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- Single file, default ASR preset (16k mono, denoise, high‑pass, limiter):
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```bash
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Bash/clean_audio.sh path/to/file.wav
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```
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This produces `path/to/file_clean.wav`.
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- Whole folder, 4 parallel jobs, output to `cleaned/`:
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```bash
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Bash/clean_audio.sh path/to/folder -O cleaned -j 4
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```
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- Use an RNNoise model explicitly (if your ffmpeg has arnndn):
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```bash
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Bash/clean_audio.sh input.wav -m models/rnnoise_model.nn
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```
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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`.
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Advanced options and compatibility:
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- The cleaner requires RNNoise by default. To allow non-ML fallback filters (afftdn), add `--allow-fallback`.
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- 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.
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- Podcast preset (adds dynamics and loudness leveling):
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```bash
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Bash/clean_audio.sh input.wav --preset podcast
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```
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## Options
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```text
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Usage: clean_audio.sh <input-file|input-dir> [options]
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Options:
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-O, --out-dir DIR Output directory (default: alongside input file).
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-e, --ext EXT Output extension/container: wav|flac (default: wav).
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-m, --model PATH RNNoise model file for arnndn; falls back to afftdn if unavailable.
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--no-ml Do not use arnndn even if model is provided; use afftdn.
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--preset NAME asr (default) | podcast | aggressive
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-j, --jobs N Parallel jobs for directory mode (default: 1).
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-f, --force Overwrite outputs if they exist.
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-q, --quiet Reduce ffmpeg logging noise.
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--lowpass FREQ Optional low-pass cutoff (e.g., 8000). Disabled by default.
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--suffix SUF Suffix for output basename (default: _clean).
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```
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## Designed for ASR (faster‑whisper)
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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.
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If you prefer FLAC to save space without quality loss:
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```bash
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Bash/clean_audio.sh input.wav -e flac -O cleaned
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```
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## Presets
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- asr (default): light, ASR‑friendly cleanup; prevents clipping.
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- podcast: adds gentle dynamics and approximate loudness normalization (single‑pass `loudnorm`).
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- aggressive: heavier gate/dynamics; can suppress background more, but may slightly hurt ASR accuracy—use sparingly.
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## Tips
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- If you see artifacts from RNNoise, try without a model (uses `afftdn`), or add a low‑pass (e.g., `--lowpass 8000`).
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- For extremely boomy bar recordings, raise high‑pass by editing `HIGHPASS` in the script or add `--lowpass`.
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- 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:
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```bash
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chmod +x Bash/install_ffmpeg_with_arnndn.sh
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Bash/install_ffmpeg_with_arnndn.sh
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```
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It will suggest distro options or build FFmpeg from source with `--enable-librnnoise`.
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RNNoise model downloader helper:
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```bash
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chmod +x Bash/get_rnnoise_model.sh
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Bash/get_rnnoise_model.sh --yes
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```
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This saves a model into `Bash/models/` which the cleaner will auto-discover.
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## Troubleshooting
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- “arnndn not available”: Your ffmpeg wasn’t built with it. The script will use `afftdn` instead.
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- Output sounds thin: lower the high‑pass (edit `HIGHPASS=80` in script to `60`) or remove low‑pass.
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- Level too low/high: choose the `podcast` preset for auto leveling, or add your own `loudnorm` in post.
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## License
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This helper script is provided under the repository’s LICENSE.
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