Files
UmbraAudio/specs
B.D. Murphy 3168b51e7c Spec 30: language as a first-class dimension, with a UI mockup
Proposal plus a working read-only mockup at /language-mockup for operator
review. German selected by default, as asked.

Measured first, so the proposal reflects reality:
  utterances   4,319 rows, no language column - one text per utterance
  language     absent from the DB entirely; exists only as a filename
               convention in the experimental lang-samples page
  /v1/tts      language: str = Form("english") - free-form, unvalidated
  marker       utt_XXXX.wav.txt JSON has speaker/text/voice_fp, no language

The load-bearing finding is that audio MUST be namespaced per language
before any second language is generated. staleness.is_current() compares
the marker's recorded text against the utterance text, so German and
English sharing ch6/utt_0001.wav would each mark the other stale and
overwrite it in a loop. That is a correctness requirement, not a tidy-up.

Schema choice: a new utterance_translations table rather than a language
column on utterances. One row can hold only one language, so a column
either forces 10x duplication of speaker/emotion/pace/attribution or
overwrites the source text. UNIQUE(utterance_id, language_code) makes
UmbraTrans re-delivery an update instead of a second competing German.

English stays in utterances.text and stays editable; translations are
confirm-only, matching the agreed asymmetry.

Audio: chapter_audio/ (English, path untouched, zero regression risk)
gains siblings chapter_audio_de/ etc. Marker JSON gains "language" so an
export can prove what it shipped.

The mockup is a separate router for the reason name_token_routes.py exists
- it keeps proposed work out of the hot routes.py until it is agreed. It
writes nothing, generates nothing, and touches the English pipeline not at
all. Verified: 200 on all 10 languages, real German text rendered,
coverage read from the real 4,319-row DB, unknown codes fall back to
German without a traceback, and the auth gate still 303s to /login.

I initially invented a routes.py helper (resolve_project_dir) that does
not exist; the real one is _get_active_config(request).project_dir. I also
removed a silent cwd fallback that would have rendered English under a
German heading and looked like a working page, and made an unreadable DB
show 'could not measure' rather than a misleading 0%.

Suite: 721 passed, 8 pre-existing. ruff clean on new files.
2026-10-14 07:52:18 -07:00
..

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