feat(voice): self-hosted speech recognition via Whisper (STT_*)
MindSift CI & Docker Release / Build, Test in Container & Push (push) Successful in 1m49s
MindSift CI & Docker Release / Build, Test in Container & Push (push) Successful in 1m49s
- STT_URL switches voice input to an OpenAI-compatible Whisper server (e.g. speaches); without it the browser's recognition stays. Configured by environment only, with limits for upload size, parallel jobs, hourly budget per user and timeout. The demo always uses the browser. - POST /voice/transcribe forwards recordings and returns the text; nothing is stored. On startup MindSift waits for the server and asks it to download the model if missing. - Admin card shows the active mode and server state, with a test recording. - docker-compose: optional "whisper" service (speaches 0.8.3 CPU, profile "whisper", models in ./whisper). Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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@@ -6,6 +6,10 @@ Das Format folgt [Keep a Changelog](https://keepachangelog.com/de/1.1.0/), die V
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## [Unreleased]
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### Added
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- Eigene Spracherkennung (optional): Mit `STT_URL` schickt MindSift Aufnahmen an einen selbst betriebenen Whisper-Server (OpenAI-kompatibel, z. B. speaches) statt an Google oder Microsoft. Einstellung nur per Umgebungsvariablen (`STT_*`) inklusive Grenzwerten; `docker-compose.yml` bringt den Dienst `whisper` als Profil mit, das Modell lädt MindSift beim ersten Start selbst. Administration → Server & Isolation zeigt den aktiven Modus und bietet eine Testaufnahme. In der Demo bleibt es bei der Browser-Erkennung.
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- API: `POST /voice/transcribe`, `GET /admin/voice`; `/auth/status` meldet `voice.mode`.
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## [0.6.1] - 2026-10-29
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### Fixed
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