26 lines
1.1 KiB
Markdown
26 lines
1.1 KiB
Markdown
# ADR 0002: Use faster-whisper for Transcription
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## Status
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Superseded by [ADR 0011](0011-use-meeting-lab-mvp-backend.md)
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## Context
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The project requires high-quality speech-to-text transcription for German and English meetings.
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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.
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## Decision
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The project will use `faster-whisper` as the initial transcription engine.
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The preferred first model is `large-v3-turbo`, with `large-v3` as quality-oriented fallback if required.
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## Consequences
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- Transcription can run locally on suitable hardware.
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- NVIDIA CUDA acceleration can be used later on an office AI PC.
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- The transcription module must hide the concrete engine behind an internal interface.
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- Model name, language setting, timestamp and engine version should be stored with every transcript.
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- The decision can be revisited if another engine provides clearly better quality, speed or deployment characteristics.
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