The emotion quick-pickers added in 1.20.5 guarded with
`typeof REH_EMOTIONS === 'undefined'`, but REH_EMOTIONS is a const declared
later in the bundle's single shared scope — `typeof` on a const in its
temporal dead zone throws instead of returning "undefined", which aborted
top-level initialization for every module bundled after tts-preview.js.
The pickers now read window.REH_EMOTIONS on a deferred macrotask.
Also: emotion instructions are now always built in English (spoken text and
the native-accent clause stay in the book's language), which controlled A/B
testing showed produces a far cleaner prosodic gradient from Qwen3-TTS; and
Fish-Speech now receives temperature/top_p/repetition_penalty, which it was
the only backend never to have forwarded.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Fish-Speech emotion tags were silently ignored on non-English books: per-line
emotions are LLM-generated in the book's own language, but Fish-Speech only
recognizes English [tag] markers, and a double-tagging bug was stacking a
broken server-derived tag on top of the client's own. Added a DE->EN
translation table and removed the double-tagging. Also wires the existing
book-profile context and race_species field into character portrait prompts
(previously only used for voice design), adds a recast-until-threshold loop
for casting, and adds backend-aware emotion quick-picks to Read Aloud, Try a
Voice, and Conversation.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Voice consistency:
- Read back each voice's pinned seed (Seed Finder / Batch Seeds) on every
generation. The seed was saved to voice metadata but only ever read by the
Seed Finder's own benchmark path, so all per-voice seed pinning was inert.
- Stop coercing the "voice_design_playback" stability profile back to
"voice_clone". The pseudo-backend key isn't a real routing target, so the
backend-name normalizer silently rewrote it — reintroducing the hardcoded
seed:0 that profile exists to avoid, overriding every per-voice pin.
- Apply the accent clause on every line, not just at voice-creation time,
and reorder the instruct so emotion leads and accent trails (Qwen3-TTS
doesn't reliably follow multiple conflicting instructions).
- Pass an explicit language to Voice Design instead of leaving it on "Auto".
Audio effects:
- Add a limiter after compressor makeup gain. Makeup gain pushed peaks to
~1.9, and the final hard clip turned that into broadband distortion that
swamped the rest of the chain.
- Cascade highpass/lowpass 3 stages each (~18 dB/octave). Single-pole
filters were too gentle to band-limit speech audibly.
- Add a Bandpass control and wire it into the Telephone/Radio presets —
compression alone never sounded like a phone; band-limiting is the
defining trait.
Persona / Try It Out:
- Disable "Apply character persona" with an explanatory tooltip when the
voice has no persona saved, and error clearly server-side instead of
silently no-op'ing. Persona is typed manually per voice, never auto-filled.
- Stop dropping applyPersona in the chunked generation path (>200 chars).
- Populate the Voice Design dropdown from the user's own library rather than
filtering the engine's discovery list, which never contains custom voices.
Navigation and library:
- Use pushState instead of replaceState so browser Back/Forward step through
in-app navigation instead of leaving the app entirely.
- Show real dialogue line counts in the character sidebar instead of the
capped reference-quote count (which showed a misleading uniform "12").
Also fixes a crash in /api/transcribe-bytes that referenced an undefined
source_id in its cleanup path.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Streaming playback never produces an in-memory blob, but the enable
logic required one. Now enables unconditionally and lazily
re-synthesizes a buffered blob on demand if effects are applied before
one exists.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Exposes the `speed` parameter (0.5–2.0) on the TTS `/v1/audio/speech`
request so audio is generated at the target tempo natively via the
faster-qwen3-tts backend rather than post-processing.
- Backend: `/api/tts-preview` now extracts and forwards a `speed`
override (clamped 0.1–4.0) through the same extra-params mechanism
already used for seed/temperature; backends that reject it fall back
cleanly via `_post_tts_with_fallback`.
- Try it out: "Native Speed" number input (0.5–2, step 0.05) added to
the text card; value persists in localStorage per browser; passed as
`extra` through `createTtsAudioSource` and `generateChunkedTts`.
- Read aloud: "Native Speed" control added to the generation controls
row alongside seed/temperature; included in `readerGenParams()` and
saved/restored with library documents (each book tracks its own speed).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Read Aloud (new "Vorlesen" tab):
- PDF (real page render + overlay highlight) / TXT reader with live word
highlighting, voice + speed, per-sentence synthesis-state colours, zoom
(fit-width/height, two-page, ±), resume, and a server-side book library
(syncs across devices; per-unit MP3 audio fetched on demand).
Book -> multi-speaker audiobook:
- "Cast as audiobook" attributes dialogue to characters via the LLM
(guillemet/quote-style aware, turn-taking, recent-context), with a
deterministic speech-tag fallback. Editable preview, non-blocking live
casting panel, then auto-saved as a reopenable Script Rehearser play.
- Audiobook export: synthesise every cast line -> one MP3 per chapter.
Character sheets:
- LLM-extracted, self-filling RPG-style sheets (with page+quote sources)
in both Read Aloud and the Rehearser.
Also: MP3 storage + per-page/sentence export, voice-library "Precompute
embeddings" pre-warm, German "Vorlesen" i18n + flag language toggle,
large-PDF performance (lazy raster, buffer/canvas eviction, yielded parse),
and the Seed Finder changelog entry.
New: routes/reader.py, POST /api/attribute-dialogue, POST /api/character-sheets,
static/js/{reader,audiobook,character-sheets}.js, static/sections/s-reader.html.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
