3 Commits

Author SHA1 Message Date
Hermes Agent 4590dc0fb9 Add 5 subcommands: normalize, silence-stats, threshold-tune, denoise, batch
Sermon-clean v0.2.0. Five new subcommands that round out the editor:

- normalize (norm): Apply EBU R128 two-pass loudness normalization.
  Default -16 LUFS (podcast/YouTube). Configurable target LUFS, true
  peak, and loudness range. Output reports measured input loudness
  and applied gain offset.

- silence-stats (ss): Quantitative summary of silence distribution —
  count, total/mean/median/longest silence, silence fraction, and
  silence runs per minute. Outputs JSON via --json. Useful for
  comparing recordings and picking the right threshold.

- threshold-tune (tt): Auto-pick the silence threshold for the audio.
  Scans a set of candidate thresholds (default -25..-50), scores each
  against the target silence-runs-per-minute (default 4.0), picks the
  closest match. Shows the full scoring table.

- denoise: Apply ffmpeg's afftdn filter for light FFT-based noise
  reduction. Configurable noise reduction dB (default 12) and noise
  floor dB (default -50). Output at 48kHz to match normalize.

- batch: Run any of the subcommands across many files via glob.
  Output goes to --output-dir with --suffix (default '-fixed') and
  optional --extension override. Failures are collected, not raised
  — one bad file doesn't kill the whole batch.

Implementation:
- sermon_clean/processing.py: normalize_loudness + SilenceStats
  dataclass + silence_stats + threshold_tune.
- sermon_clean/denoise.py: DenoiseResult + denoise.
- sermon_clean/batch.py: run_batch + _expand_globs + _make_output_path.
- sermon_clean/cli.py: 5 new cmd_* functions + 5 subparser registrations.

Tests:
- tests/test_processing.py (7 tests): silence-stats on silent vs loud,
  threshold-tune picks closest, normalize produces output + measures loud.
- tests/test_denoise_batch.py (11 tests): denoise roundtrip, batch
  helpers (glob expansion, output naming), batch run with normalize
  + denoise, unknown subcommand raises, one-bad-file-in-batch continues.

Total: 82/82 tests passing in 48s (was 64/64). Bumped version to 0.2.0.

README updated: step-by-step workflow adds 1d-1g; subcommand table
adds the 5 new commands; new 'Batch processing' section.
2026-07-27 13:31:18 -07:00
sami7777 7db2832034 Add scan + auto subcommands
- waveform.py: fast ASCII waveform via ffmpeg PCM extract + numpy RMS
  (avoids the slow per-frame astats approach)
- transcribe.py: faster-whisper integration with substring bad-word matching
- cli.py: new 'scan' (ASCII waveform + silence marks, no whisper)
              and 'auto' (transcribe + bad-word flagging) subcommands
- numpy added to required dependencies
- 17 new tests (waveform + transcribe), 42 total all passing
2026-07-27 03:50:55 -07:00
sami7777 cea6005bf4 Initial commit: sermon-clean v0.1.0
Find, cut, paste replacements in sermon audio.
- engine.py: SermonClean core (BadSegment, trim, concat, splice verify)
- cli.py: find/cut/paste/pipe subcommands
- elevenlabs.py: optional ElevenLabs rendering hook
- 25 tests passing (timestamp parsing, BadSegment validation, end-to-end trim on real audio)
- pyproject.toml: pip-installable; dep only on ffmpeg/ffprobe system-wide
- README + LICENSE (MIT) + examples/segs.json

Validated against the krystie audio cache (OGG/Opus 48kHz mono).
2026-07-27 02:40:18 -07:00