B.D. Murphy 6429f37b11 Ignore voice-lab WAVs; the findings and code stay tracked
The Author voice lab committed 45 sample renders (25 MB) plus the six-file
reference chain. Those are binaries and every one of them is regenerable from
the scripts sitting beside them, so tracking them buys nothing and costs a
git-ls-files full of audio.

Tracked deliberately:
  backup/author_voice_lab/FINDINGS.md      the measurements and the reasoning
  backup/author_voice_lab/*.json           results + cliff verification
  backup/author_voice_lab/scripts/*.py     everything that produces the audio
  backup/author_voice_matrix/*.pt          the vmatrix itself (62 KB, load-bearing)
  backup/author_voice_matrix/manifest.json SHA-256 + provenance per file
  backup/author_voice_matrix/RESTORE.md    how to put it back

Ignored:
  backup/author_voice_lab/wav/  wav_cliff/   25 MB of renders
  backup/author_voice_matrix/**/*.wav        the reference chain, 25 MB

Note this only stops future tracking. The 45 WAVs are already in history from
the earlier commit, so they stay in the tree until removed with
`git rm -r --cached backup/author_voice_lab/wav backup/author_voice_lab/wav_cliff`
and committed -- which is deliberately left as a separate, explicit step rather
than folded in here, since it changes what a checkout contains.
2026-10-17 01:04:23 -07:00

UmbraAudio

Quality-first multi-pass audiobook generation from English manuscripts.

Features

  • 5-pass pipeline: Analysis → Voice Design → Mapping → Test → Generate
  • Multi-engine TTS: Chatterbox (primary), Qwen3-TTS (secondary)
  • LLM-enhanced: BookNLP for NLP, LLM for profiling/emotion/pronunciation
  • Web review: FastAPI + HTMX at checkpoints for human approval

Quick Start

python -m umbraaudio.cli init <manuscript.epub> --name 'My Book'
python -m umbraaudio.cli analyze
python -m umbraaudio.cli voices
python -m umbraaudio.cli review

Requirements

  • Python 3.11+
  • NVIDIA GPU with CUDA support (RTX 3060 or better recommended)
  • ffmpeg

Development

pip install -e ".[dev]"
ruff check umbraaudio/
pytest tests/ -v

Commit cadence: commit at least once every Sunday. Never leave a week (let alone a month) of work uncommitted — a single accidental git checkout on 2026-09-20 wiped out a month of changes to umbraaudio/web/routes.py. See AGENTS.md → Commit Cadence.

scripts/commit_check.sh enforces the nudge: it exits non-zero once the tree has been dirty longer than a week. The LaunchAgent com.umbraaudio.commitcheck runs it every Sunday at 18:00 and posts a macOS notification when there is uncommitted work.

scripts/commit_check.sh            # warn if dirty > 7 days
scripts/commit_check.sh --days 3   # tighter threshold
scripts/commit_check.sh --any      # warn on any uncommitted change

Rebuilding from source

The repo tracks source only; large runtime data is reconstructed as needed.

  1. Models: weights are not committed (see .gitignore). Download them:

    bash scripts/download_models.sh   # ~9 GB, targets ./models
    
  2. Qwen3-TTS is a git submodule pinned to upstream commit 022e286:

    git submodule update --init --recursive
    

    The tts_server/web-demo backend includes a local UI customization to qwen_tts/cli/demo.py. It is preserved as a patch — reapply it after checking out the submodule:

    cd Qwen3-TTS && git apply ../scripts/qwen3_tts_demo_umbra_patch.patch
    
  3. Environment: copy/keep .env (contains secrets) and set UMBRA_TTS__* model paths under models/.

Book projects (e.g. DealHunterShip_...) are committed separately under their own project directories and are not part of this program repository.

Description
Quality-first multi-pass audiobook generation pipeline (5-pass: Analysis -> Voice Design -> Mapping -> Test -> Generate). FastAPI+HTMX review UI, Edge-TTS/Qwen3-TTS multi-engine voice, SQLite state.
Readme Apache-2.0 37 MiB
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Shell 3%
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