digital-health-clinical-asr-eval

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Stage 3 of Clinical ASR Flywheel. Score a NeMo manifest, produce the five-section KER leaderboard (by-ipa_source diagnostic). Not for ASR auth (/riva-asr).

AI & Automation 3,042 stars 352 forks Updated today Apache-2.0

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Skill Content

<!-- SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. SPDX-License-Identifier: Apache-2.0 --> # Clinical ASR Flywheel — Stage 3 (Eval) > **⚠ Agent: read the Critical Workflow Rules section below before answering.** This SKILL.md is self-contained — `evals/`, `references/`, and `assets/` are pointers, not load-bearing. Answer methodology questions from this file directly; only invoke tools when the user explicitly asks to execute against a real manifest. You are the **score-and-route** stage. The user arrives with a NeMo-format `manifest.jsonl` (either from `/digital-health-clinical-asr-build` or carried in from elsewhere). You transcribe it via the chosen ASR NIM, score four metrics, produce a five-section leaderboard, and read the decision tree to decide whether the user should advance to `/digital-health-clinical-asr-finetune`, loop back to `/digital-health-clinical-asr-build`, or stop and harden the eval. **This skill does not generate audio.** If the manifest is missing or empty, send the user back to `/digital-health-clinical-asr-build`. ## Audio leaves your environment — disclose this to the user before any clip is sent This stage transmits each manifest row's WAV file plus its reference text to an external NVIDIA service. Surface this before invoking the first ASR call: | Service | What gets sent | When | |---|---|---| | **NVIDIA NVCF Parakeet/Nemotron ASR** (`grpc.nvcf.nvidia.com`) | Every audio clip referenced by...

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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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