docs(changelog): refresh the [0.3.8] headline for the release body (#708)
The headline predated the later 0.3.8 work. Bring it current — Settings redesign, macOS native drag-drop (incl. macOS 26), the ASR CTranslate2-load fallback, the pronunciation dictionary, and the more-honest error messages (corrupt binary != OOM, model-id self-heal, stale-dub reset). release.yml publishes this section verbatim as the GitHub Release body, so the headline is the first thing users read on the v0.3.8 release. Co-authored-by: mergetest <test@local> Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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@@ -8,16 +8,20 @@ The bundled TTS model package (`pyproject.toml`) is versioned independently.
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## [0.3.8] — 2026-06-26
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A stability-focused release that makes first-run and Windows "just work" — and
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ships **live, faster-than-real-time local dictation**. It clears the wave of
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A stability-focused release that makes first-run and Windows "just work," ships
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**live, faster-than-real-time local dictation** and a **user pronunciation
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dictionary**, and gives **Settings a full redesign**. It clears the wave of
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**"Can't reach the local backend"** reports at the source — the 8 GB-card OOM
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crash, the slow-load future-scheduling break, a Windows-only WhisperX load
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failure, and transcription stalls that *looked* like a dead backend are all
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fixed or now fail with a clear, actionable message. Downloads are faster out of
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the box (parallel segmented transfer on by default) and the Hugging Face token
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that speeds them up is front-and-center on setup. Plus first-run polish, faster
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long-form previews on Windows, multi-voice story casting, and a friendlier batch
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of error messages across dub, generate, and design.
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failure, an ASR engine that couldn't load CTranslate2 on newer Linux/WSL, and
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transcription stalls that *looked* like a dead backend are all fixed or now fail
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with a clear, actionable message. **macOS gets native file drag-and-drop back**
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(including macOS 26 Tahoe). Downloads are faster out of the box (parallel
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segmented transfer on by default) and the Hugging Face token that speeds them up
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is front-and-center on setup. Plus multi-voice story casting, faster long-form
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previews on Windows, and a friendlier, more honest batch of error messages
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across dub, generate, and design (a corrupt-binary failure no longer poses as
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"out of memory," a bad model id self-heals, and a stale dub job resets cleanly).
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### Added
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