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Building the clinical ASR benchmark v1.0.0

Use this resource to build a clinical ASR benchmark: terms, IPA and a NeMo manifest

New

  • 325 downloads
  • 202 likes
  • 122 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install clinical-asr-benchmark-building

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent asks one or two questions about the specialty, proposes terms, tags them with IPA (override, Merriam-Webster, then magpie_g2p), tests a sample before full generation, then produces the manifest. Terms leave your environment, so tell the user before any term is sent.

Mostly picked by

Updated November 2, 2026

Card for the “Building the clinical ASR benchmark” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
Apache-2.0

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What you get

  • references/manifest-schema.md: manifest schema
  • references/pronunciation-pipeline.md: pronunciation pipeline
  • SKILL.md: procedure for steps 2a to 2e

Good fit for

  • You prepare a clinical speech recognition benchmark
  • You want a NeMo manifest from a list of medical terms

Not for

    Tags

    • ASR
    • clinical
    • IPA
    • manifest

    About

    You say

    “Build the ASR benchmark for cardiology from my term list.”

    Card for the “Building the clinical ASR benchmark” skill

    Skill published by Ben Randoing <brandoing@nvidia.com> under the Apache-2.0 license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to build a clinical ASR benchmark: terms, IPA and a NeMo manifest
    3. Review and adjust the result

    Content preview

    Files

    • BENCHMARK.md4 KB
    • evals/evals.json5.9 KB
    • LICENSE11.3 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/manifest-schema.md5.4 KB
    • references/pronunciation-pipeline.md15.5 KB
    • skill-card.md4 KB
    • SKILL.md19.7 KB
    • skill.oms.sig5 KB

    Origin and licence

    Listed unmodified

    Author
    Ben Randoing <brandoing@nvidia.com>
    Source
    github.com/nvidia/skills/tree/ca116d60beafe1b4459f0ab790b7b450912c56b0/skills/digital-health-clinical-asr-build
    Licence
    Apache-2.0

    Notice

    « digital-health-clinical-asr-build » (Ben Randoing <brandoing@nvidia.com>, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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