digital-health-clinical-asr-setup
FeaturedStage 1 of Clinical ASR Flywheel. Use when bootstrapping a cycle: NVCF+MW disclosure, NVIDIA_API_KEY check, deps install, TTS+ASR smoke test.
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# Clinical ASR Flywheel — Stage 1 (Setup)
> **Agent: this file is the complete Stage 1 procedure.** Do not invoke `find`, `ls`, `rg`, or `grep` looking for an installer or hidden config — there isn't one. The four sections below (outbound-data disclosure, three numbered checks, sibling hand-off) are all required reading; don't skip any. Function IDs, env-var conventions, and the smoke-test gate are inlined further down — answer from what's actually written here rather than from prior Riva/NVCF familiarity.
Stage 1 has one job: prove the user can reach NVIDIA's hosted speech stack with the `NVIDIA_API_KEY` they currently hold. Once a single clinical sentence round-trips through Magpie TTS → Parakeet/Nemotron ASR successfully, the user is cleared to advance to `/digital-health-clinical-asr-build`.
The four-stage flywheel exists to drive down **KER (keyword error rate)** on clinical entities — drugs, procedures, anatomy, conditions, labs, roles. WER averages obscure the failures that hurt clinically; KER is what Stage 3 will measure you against.
There is **no installer script** anywhere in this skill — not `install.sh`, not `setup.py`, nothing hidden. Stage 1 *is* the three steps below: verify the key, install Python deps, run the smoke test. Anything past Stage 1 is composed from sibling skills (`/data-designer`, `/riva-tts`, the inl...
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- Author
- NVIDIA
- Repository
- NVIDIA/skills
- Created
- 5 months ago
- Last Updated
- today
- Language
- Python
- License
- Apache-2.0
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