c476cfea1d
UmbraTrans delivers one row per utterance per target language, in the shape translations.import_translations already accepts. There was no script to run that ingest, so the delivery side of the contract existed only as a function. scripts/import_translations.py runs it: report-only by default, --write to store, --confirm to store as confirmed rather than draft. It prints the coverage before and after, so a delivery can be checked without writing it. Two bugs in the ingest, both found by running a real delivery: * import_translations folded the target language with lang.normalize, which does not know script subtags. A delivery labelled "zh-Hans" - which is what UmbraTrans writes - matched nothing, so every row was dropped and reported as a problem. It now folds with canonical_code, and an unknown language is still stored: the text is reviewable even when the render will be refused. * coverage and not_voiced_rows compared the stored code to the requested code as strings, so a row stored as "zh-Hans" read as "nothing delivered" when the reviewer asked about "zh". The coverage report was wrong in the direction that makes a reviewer distrust it. Measured on the real Deal Hunter Chinese delivery: 4,300 rows ingested, the review UI's resolver then renders Chinese for 12/12 utterances of chapter 1 and 415/416 of chapter 6 - the missing one being the spoken chapter announcement, which is deliberately not part of the reading edition. spec 27 records what the shipped samples actually are: single-pass drafts made against a hand-cleaned paraphrase of the English, matching the speaker-verified database text in 0 of 12 utterances. The production Chinese edition on oldbox does use the intent-based process; what it lacked was the alignment back onto the utterances, which is now implemented in UmbraTrans. 7 new tests. Suite: 890 passed, 8 failed (the same 8 pre-existing failures).
UmbraAudio Specifications
Index of all specification documents for the UmbraAudio audiobook generation system.
Specifications
| File | Topic | Description |
|---|---|---|
| 00-project-overview.md | Architecture | Pipeline overview, tech stack, data layout |
| 01-parsing.md | Pass 1a | EPUB, PDF, TXT, MD manuscript parsing |
| 02-analysis.md | Pass 1b | BookNLP, character profiling, pronunciation |
| 03-voice-design.md | Pass 2 | Per-character voice reference generation |
| 04-mapping.md | Pass 3 | Text segmentation, speaker attribution, manifests |
| 05-generation.md | Pass 5 | Audio generation, caching, retry, CUDA management |
| 06-normalization-watermarking.md | Post-gen | Audio normalization, ACX compliance, Perth watermark |
| 07-assembly-export.md | Export | M4B, MP3, WAV export via FFmpeg |
| 08-database.md | Database | SQLite schema, entity relationships, CRUD API |
| 09-web-review-ui.md | Web UI | FastAPI + HTMX review interface |
| 10-cli-orchestrator.md | CLI | Click commands, full pipeline orchestration |
| 11-configuration-dependencies.md | Config | Pydantic settings, dependencies, build system |
| 12-quality.md | Quality | MOS, WER, consistency, ACX compliance |
| 18-UmbraTrans.md | Multilingual | Meaning-preserving translation, target voices, and multilingual audiobook production |
| 19-enterprise-control-plane.md | Enterprise | Multi-tenant projects, access control, artifact lineage, and commercial voice library |
| 20-enterprise-database-integration.md | Enterprise DB | Shared-PostgreSQL contract, blockers, cutover phases P1-P4 |
| 21-umbra-system-nodes-tasks-and-changes.md | System | Worker nodes, task assignment, cross-product change management, UI topology |
| 22-releases-and-the-publish-flag.md | Release | The publish flag, pinned artifact sets, post-publication change, and the Deal Hunter lesson |
| 23-speaker-duplicate-detection.md | Speakers | Duplicate-speaker scan, approval-safe merging, and the crowd veto |
| 24-analysis-quality-plan.md | Analysis | Why the ch6 speakers were missed, and a ranked plan to improve attribution |
Quick Reference
Pipeline Passes
1a: Parse → chapters table
1b: Analyze → characters, pronunciation_guide
2: Voices → voice_ref WAVs
3: Map → manifests/*.json
4: Test → sample audio (optional)
5: Generate → audio/*.wav, audio_normalized/*.wav
Export → export/*.m4b, *.mp3
Key Entry Points
| Component | File | Class/Function |
|---|---|---|
| CLI | cli.py |
main Click group |
| Pipeline | orchestrator.py |
run_pipeline() |
| TTS | voices/chatterbox.py |
ChatterboxEngine |
| Segmenter | mapping/segmenter.py |
Segmenter |
| Generator | generation/chapter.py |
ChapterGenerator |
| Normalizer | assembly/normalize.py |
AudioNormalizer |
| Web UI | web/__init__.py |
create_app() |
| Database | database.py |
Database |