Files
UmbraAudio/specs
Umbra Tools 3db6ac3b8b Refuse a delivery whose text is not written in the language it claims
The production directory oldbox calls "deal-hunter-es" declares
target_language "es-ES", its glossary says Spanish, and its 32-chapter run
finished - and all 3,038 translated paragraphs are in Chinese. It is a second
Chinese draft filed under a Spanish name.

The cause is in the pipeline: the drafter's instructions are hard-coded to
Simplified Chinese in three places (SYSTEM_DRAFTER, draft_prompt,
SYSTEM_CRITIC), so the glossary's target language was ignored. No non-Chinese
translation has ever been produced by that pipeline.

The danger at this end is that the rows would be stored under "es", the review
lane would look populated, and a reviewer would approve Chinese as Spanish.
So the ingest now checks the script of the delivered text against the
declared language, and refuses the delivery before writing a single row.

The check is about the script, not the language: it cannot tell Spanish from
Portuguese, but it can tell Chinese from Spanish, which is the mistake that
actually happens. Japanese needs its kana and Korean its Hangul, and a
Chinese delivery carrying kana is a Japanese translation filed in the wrong
lane. An unknown language is not checked - there is no expectation to check
it against.

Proven on the real data: the es delivery is refused with "the text is mostly
Han characters, so it is not Spanish", and the 4,300-row Chinese delivery
still imports unchanged.

19 new tests. Suite: 909 passed, 8 failed (the same 8 pre-existing failures).
2026-11-06 20:06:59 -08:00
..

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