testsAndMisc/linux_configuration/misc/clean_audio.sh
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

231 lines
5.7 KiB
Bash
Executable File

#!/usr/bin/env bash
set -euo pipefail
# shellcheck source=lib/clean_audio_filters.sh
. "$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)/lib/clean_audio_filters.sh"
# clean_audio.sh — Fully automatic audio cleaner for speech (ASR-friendly)
#
# - Default preset is tuned for ASR (faster-whisper):
# mono, 16 kHz, high-pass filter, denoise (RNNoise arnndn by default if model found/provided; else afftdn),
# peak limiting to -0.5 dBFS. No aggressive gating/compression by default.
# - Optional "podcast" preset adds gentle dynamics and loudness leveling.
# - Accepts single files or directories (recursively).
# - Optional parallel processing.
#
# Dependencies: ffmpeg (arnndn filter recommended for best results)
# Optional: an RNNoise model file for arnndn (auto-discovered if present; otherwise falls back to afftdn)
#
# Usage examples:
# Bash/clean_audio.sh input.wav # -> input_clean.wav (same folder)
# Bash/clean_audio.sh input.wav -O out_dir # -> out_dir/input_clean.wav
# Bash/clean_audio.sh input_dir -O cleaned/ -j 4 # -> processes all audio files in dir
# Bash/clean_audio.sh input.wav -m models/rn.nn # -> use RNNoise model
# Bash/clean_audio.sh input.wav --preset podcast # -> add dynamics leveler
#
SCRIPT_DIR=$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")" &> /dev/null && pwd)
# Defaults
OUT_DIR=""
OUT_EXT="wav"
RN_MODEL=""
NO_ML=false
REQUIRE_ML=true # default: require RNNoise; install/guide if missing; fail fast if unavailable
PRESET="asr"
JOBS=1
FORCE=false
QUIET=false
LOWPASS=""
SUFFIX="_clean"
HIGHPASS="80"
AFFTDN_NF="-25" # noise floor in dB for afftdn
AFFTDN_MD="8" # mode for afftdn (higher can be more aggressive); requires builds that support 'md'
NO_ADVANCED=false # when true, avoid advanced options that some ffmpeg builds lack
# Parse args
if [[ $# -lt 1 ]]; then
print_usage
exit 1
fi
INPUT_PATH="$1"
shift || true
while [[ $# -gt 0 ]]; do
case "$1" in
-O | --out-dir)
OUT_DIR="$2"
shift 2
;;
-e | --ext)
OUT_EXT="$2"
shift 2
;;
-m | --model)
RN_MODEL="$2"
shift 2
;;
--no-ml)
NO_ML=true
shift
;;
--preset)
PRESET="$2"
shift 2
;;
-j | --jobs)
JOBS="$2"
shift 2
;;
-f | --force)
FORCE=true
shift
;;
-q | --quiet)
QUIET=true
shift
;;
--lowpass)
LOWPASS="$2"
shift 2
;;
--suffix)
SUFFIX="$2"
shift 2
;;
--no-advanced | --compat)
NO_ADVANCED=true
shift
;;
--allow-fallback)
REQUIRE_ML=false
shift
;;
-h | --help)
print_usage
exit 0
;;
*)
echo "Unknown option: $1" >&2
print_usage
exit 1
;;
esac
done
require_cmd ffmpeg
# Resolve FFmpeg binary (env override -> local build -> system)
FFMPEG_BIN=${FFMPEG_BIN:-}
if [[ -z ${FFMPEG_BIN} ]]; then
if [[ -x "$SCRIPT_DIR/ffmpeg-build/FFmpeg/ffmpeg" ]]; then
FFMPEG_BIN="$SCRIPT_DIR/ffmpeg-build/FFmpeg/ffmpeg"
else
FFMPEG_BIN="ffmpeg"
fi
fi
if ! command -v "$FFMPEG_BIN" > /dev/null 2>&1 && [[ ! -x $FFMPEG_BIN ]]; then
echo "Error: FFmpeg binary not found: $FFMPEG_BIN" >&2
exit 1
fi
if ! $QUIET; then
echo "Using FFmpeg binary: $FFMPEG_BIN" >&2
fi
FFMPEG_LOG=(-hide_banner)
if $QUIET; then
FFMPEG_LOG+=(-loglevel error)
else
FFMPEG_LOG+=(-loglevel info)
fi
FFMPEG_OVERWRITE=(-n)
if $FORCE; then
FFMPEG_OVERWRITE=(-y)
fi
arnndn_available=false
if "$FFMPEG_BIN" -hide_banner -h filter=arnndn > /dev/null 2>&1; then
arnndn_available=true
else
if "$FFMPEG_BIN" -hide_banner -filters 2> /dev/null | grep -Eq '(^|[[:space:]])arnndn([[:space:]]|$)'; then
arnndn_available=true
fi
fi
if ! $QUIET; then
echo "arnndn_available=$arnndn_available" >&2
fi
# Check if afftdn supports 'md' option
afftdn_supports_md=false
if "$FFMPEG_BIN" -hide_banner -h filter=afftdn 2> /dev/null | grep -q " md="; then
afftdn_supports_md=true
fi
use_arnndn=false
if [[ $NO_ML == false ]]; then
if [[ $arnndn_available == false ]]; then
if $REQUIRE_ML; then
echo "Error: FFmpeg 'arnndn' filter not available. Please install/upgrade FFmpeg with librnnoise (see Bash/install_ffmpeg_with_arnndn.sh)." >&2
exit 9
fi
else
# arnndn available; require an external model
if [[ -n $RN_MODEL && -f $RN_MODEL ]]; then
:
else
if model_path=$(find_default_rn_model); then
RN_MODEL="$model_path"
else
if [[ -x "$SCRIPT_DIR/get_rnnoise_model.sh" ]]; then
RN_TARGET_DIR="$SCRIPT_DIR/models" RN_TARGET_NAME="rnnoise_model.rnnn" "$SCRIPT_DIR/get_rnnoise_model.sh" --yes || true
if model_path=$(find_default_rn_model); then
RN_MODEL="$model_path"
fi
fi
fi
fi
if [[ -z $RN_MODEL ]]; then
echo "Error: RNNoise model required but not found. Automatic download failed." >&2
echo "Hint: Set RN_URL to a reachable model URL and run Bash/get_rnnoise_model.sh, or supply -m /path/to/model.nn." >&2
exit 10
fi
use_arnndn=true
echo "Using RNNoise external model: $RN_MODEL" >&2
fi
fi
# Concurrency helpers (bash >= 5 supports wait -n; fallback to sequential if not)
supports_wait_n=false
if [[ -n ${BASH_VERSINFO:-} && ${BASH_VERSINFO[0]} -ge 5 ]]; then
supports_wait_n=true
fi
main() {
# Sanity checks and notices
if [[ -n $RN_MODEL && $use_arnndn == false && $NO_ML == false ]]; then
echo "Note: arnndn filter not available in your ffmpeg or model missing — using afftdn." >&2
fi
if [[ -f $INPUT_PATH ]]; then
process_one "$INPUT_PATH"
elif [[ -d $INPUT_PATH ]]; then
run_dir "$INPUT_PATH"
else
echo "Error: Input path not found: $INPUT_PATH" >&2
exit 1
fi
}
main "$@"