Run Local SpeechBrain ASR with Sapat in Daytona - #324
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Signed-off-by: Franklin Wilster <franklinwilster@gmail.com>
Signed-off-by: Franklin Wilster <franklinwilster@gmail.com>
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/claim #13
Summary
Adds a distinct Daytona guide for running Sapat with a Python-native local SpeechBrain ASR provider, plus a local-ASR definition, first-time author profile, and an original workflow SVG.
The guide focuses on reproducibility and privacy boundaries: pinned Sapat implementation, explicit model/cache/device configuration, first-run model download behavior, CPU/GPU validation, transcript checksums, and troubleshooting.
Companion Sapat implementation: nibzard/sapat#77
Validation
git diff --check— PASSNo API keys, private media, model weights, transcripts, or local machine paths are committed.
Issue: #13