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icassp-artifact-evaluation

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Use when packaging ICASSP code, data, audio or image samples, model checkpoints, scoring scripts, seeds, and logs, even though ICASSP has no formal artifact badge. Covers what signal-processing reviewers actually open, how single-blind review lets artifacts be public from the start, and how to make a task's measurement reproducible turnkey.

ICASSP-Skills/skills/icassp-artifact-evaluation/SKILL.md

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# ICASSP Artifact Evaluation

Use this for evidence packaging around ICASSP. There is **no formal artifact-evaluation
committee or badge** at ICASSP as of the 2026 cycle; artifacts are voluntary and their value is
in review credibility and post-publication impact. Because review is **single-blind**, a
repository can carry your name from day one — no anonymous mirror is required.

## Artifact plan

- Decide what evidence supports the four-page claim: training and evaluation code, the exact
  dataset splits or trial lists, the **scoring script**, model checkpoints, seeds, logs, and a
  handful of qualitative samples (audio, spectrogram, image, or signal plot).
- Keep the decision-critical numbers reproducible from the released package; a reviewer who
  cannot regenerate the headline metric discounts it.
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