Establish initial project architecture

2026-07-08 15:57:35 +02:00
commit bb8a1ccb08
28 changed files with 823 additions and 0 deletions
@@ -0,0 +1,25 @@
+# ADR 0002: Use faster-whisper for Transcription
+
+## Status
+
+Accepted
+
+## Context
+
+The project requires high-quality speech-to-text transcription for German and English meetings.
+
+The transcription component should support local execution where practical and should remain replaceable in the future. The project should not depend on a meeting bot or on a proprietary meeting platform.
+
+## Decision
+
+The project will use `faster-whisper` as the initial transcription engine.
+
+The preferred first model is `large-v3-turbo`, with `large-v3` as quality-oriented fallback if required.
+
+## Consequences
+
+- Transcription can run locally on suitable hardware.
+- NVIDIA CUDA acceleration can be used later on an office AI PC.
+- The transcription module must hide the concrete engine behind an internal interface.
+- Model name, language setting, timestamp and engine version should be stored with every transcript.
+- The decision can be revisited if another engine provides clearly better quality, speed or deployment characteristics.