B.D. Murphy 2f46be9520 Sample translations: formal -> casual register, all 10 languages
The Korean render sounded formal because the Korean translation was in
합쇼체 (-입니다/-합니다/-습니다) - the written formal register, like a
news anchor. Every line used it.

Korean politeness is grammatical, not stylistic: it lives in the verb
endings. 합쇼체 -습니다, 해요체 -이에요/-예요, 해체 -아/-어 are different
morphemes, so no TTS instruction can convert them. The fix has to be in
the text. The same applies to Japanese です/ます and to the T/V languages,
where Sie->du changes the words themselves.

This was not a Korean-only problem. All 9 translated languages were in
formal register while the English source is neutral and friendly:

  DE 12 markers  FR 13  PT 5  ES 4  IT 3  RU 3  JA polite  KO 합쇼체
  ZH 3 honorific 您          EN 0 (source)

Applied:
  KO  합쇼체 -> 해요체. 해체/반말 deliberately NOT used: speech level is
      social, and Nanny speaking 반말 to Kainda would be wrong.
  DE/FR/ES/IT/PT  Sie/vous/usted/Lei/você -> du/tu/tú/tu/tu
  RU  kept вы; ты is too intimate for narration. Softened instead.
  JA  polite-but-warm, fewer ください
  ZH  您 -> 你

Re-verified against the formal-pronoun probe (not the earlier loose one,
which flagged possessives: su/suo/seu are 'his', and Japanese です is the
copula while います is existential - both register-neutral).

This is Pass 3 from specs/27 (register and voice consistency), which was
specified and then never applied.

Also fixed a drift trap: build_sample_translations.py wrote to
scripts/translations, a directory nothing reads and nothing tracks, while
the tracked record is samples/translations and the renderer reads
<project>/samples/translations. One regeneration silently left both stale.
It now writes the repo copy and, with --project, the renderer's copy in
the same run.

Re-rendered 120 clips, 0 failed. All 120 bitwise-different from the
formal render, confirming the new text was synthesized rather than a
replay. Korean total 117.8s -> 110.1s, consistent with the shorter 해요체
endings. Previous render kept as Lang_test_formalRegister.

Suite: 721 passed, 8 pre-existing.
2026-10-13 20:54:36 -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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