Squashes ~3 weeks of uncommitted work (2026-09-03 → 09-21). The repo is the
only durable copy; a single accidental `git checkout` on routes.py nearly lost
a month of work (recovered from an editor snapshot, not git). See AGENTS.md →
"Commit Cadence" — commit every Sunday.
Attribution & QA
- New umbraaudio/analysis/attribution_qa.py: mechanical check_attribution /
fix_high_confidence / verify_conversation_flow (speech-tag mismatch, narrator
dialogue, role-tag guessing) plus scripts/qa_attribution.py CLI.
- llm_attributor prompt rules 3e-3h (unnamed roles, pronoun coreference,
repeated lines) with wider scene/position context.
- Per-utterance QA box in chapter audio detail UI: hover issues, Recheck
(auto-fix loop) and Accept (persisted qa_accepted* + text/speaker signature,
auto re-surfaces when either changes). New POST /api/utterance/{id}/recheck
and /api/utterance/{id}/qa-accept. _ensure_utterance_columns migration fixes
legacy DBs that lacked the columns.
Generation
- Dramatic utterance variations: 26 emotions + pace + custom instruct,
composed into every TTS voice mode (clone/icl/ref/embedding) and all
generation sites; markers record the instruct so edits re-trigger.
- Staleness markers are JSON {speaker,text}; legacy plain-text markers always
stale.
- Scene-break segmentation (generation/scene_break.py) + resegment merge.
- AR package exporter (assembly/ar_export.py) with tests.
- Voice ref resolution: rglob refs, canonical alias / first-word fallback.
- Edge-TTS fallback visibility: durable voice_engines.json ledger + UI badge.
GPU / TTS server
- qwen_tts_server: instruct + clone/icl support (voice_description →
instruct_ids prepended to the talker input).
- qwen_tts.py remote path sends voice_description alongside voice_ref/slug.
Config / ops
- .env: UMBRA_TTS__QWEN_TTS_URL=http://localhost:8881.
- .gitignore: book projects, tmp_out, logs, one-off samples A/B demo.
- AGENTS.md + README.md: Commit Cadence (commit at least weekly, on Sunday).
New tests: test_qa_acceptance, test_variations, test_ar_export,
test_scene_break, test_resegment_merge, test_vocals_project. Suite: 327 pass
(6 pre-existing voice-profile accent-wording failures, unrelated).
1.9 KiB
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 checkouton 2026-09-20 wiped out a month of changes toumbraaudio/web/routes.py. SeeAGENTS.md→ Commit Cadence.
Rebuilding from source
The repo tracks source only; large runtime data is reconstructed as needed.
-
Models: weights are not committed (see
.gitignore). Download them:bash scripts/download_models.sh # ~9 GB, targets ./models -
Qwen3-TTS is a git submodule pinned to upstream commit
022e286:git submodule update --init --recursiveThe
tts_server/web-demo backend includes a local UI customization toqwen_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 -
Environment: copy/keep
.env(contains secrets) and setUMBRA_TTS__*model paths undermodels/.
Book projects (e.g. DealHunterShip_...) are committed separately under their
own project directories and are not part of this program repository.