ICASSP Supplementary

SkillCloud & infra

Use when deciding what goes in the four ICASSP pages versus a public release, given that ICASSP has no reviewed appendix, managing the 4+1 budget, curating optional multimedia (audio, image, video) that reviewers may open, hosting derivations and extra results externally, and keeping the main paper self-contained under single-blind review.

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the ICASSP Supplementary skill

What this skill tells your AI

The instructions your AI receives, as published by brycewang-stanford/awesome-journal-skills in ICASSP-Skills/skills/icassp-supplementary/SKILL.md and read by ahel’s review.

Use this when assembling everything around an ICASSP paper that does not fit the four content pages. The defining constraint: ICASSP has no reviewed supplement or appendix that decides acceptance. The paper must be self-contained in 4+1 pages; anything else is optional material a reviewer may consult but is not obliged to.

The three shelves

ShelfWhat lives hereReviewer obligation
Pages 1-4The claim, mechanism, and decision-critical results and figuresMust read
Page 5References, funding acknowledgements, ethical-standards statement onlyMust read (references)
Optional releaseExtended derivations, extra conditions, demo media, codeMay consult, not guaranteed

If a result decides acceptance, it belongs on pages 1-4. If it merely strengthens or illustrates, it can live in the optional release — but never assume a reviewer opened it.

What "supplementary" means at ICASSP

  • Unlike double-blind ML venues with a reviewed appendix, ICASSP's optional material is usually a public repository or a demo page, and because review is single-blind it can carry your identity from the start.
  • Some cycles allow uploading a multimedia file (audio, image, or video) with the submission through CMS; confirm the current paper kit for accepted formats and size limits before relying on it.
  • Long proofs and derivations that will not fit four pages typically go to an extended arXiv/technical-report version cited from the paper, not to a reviewed appendix.

Curating multimedia reviewers actually open

For enhancement, separation, synthesis, restoration, or any perceptual result, a short set of listenable or viewable examples is often the most persuasive artifact:

  • Provide a small, curated set (roughly five), not a dump; pick cases that show both a strength and an honest hard case.
  • Label each example with its condition (SNR, corpus, or scene) so a reviewer can interpret it.
  • For audio, include the input, the output, and a strong-baseline output side by side.
  • Scrub embedded metadata only for privacy/consent reasons, not anonymity — single-blind review does not require hiding your identity.

Keeping the four pages self-contained

  • State each main theorem, algorithm, or system so a reviewer can judge it without the external material; a paper whose argument only closes in the arXiv version reads as unreviewable in four pages.
  • Keep one derivation-sketch line in the body for any result whose full proof you exile to the technical report.
  • Cross-reference the release from the paper at least once; unlinked material is invisible.

Vignette: splitting an image-restoration paper

A submission proposes a denoiser with a stability argument and a broad evaluation. The body keeps the method, the key stability statement with a one-line justification, and the two decision-critical PSNR/SSIM tables; the extended derivation and the full noise-level sweep go to a cited technical report; a demo page shows five before/after crops with a baseline. Nothing that decides acceptance lives only off-paper, because ICASSP reviewers are not required to leave the PDF.

Consent and licensing checklist

[On-paper] claim, mechanism, decision-critical results all in 4+1
[Off-paper] derivations / extra conditions / media / code (cited from paper)
[Media] curated set, labeled conditions, baseline shown
[Licensing] corpus/data license permits redistribution of any shipped samples
[Consent] speaker/subject consent cleared for any released recordings or images

Output format

[Supplement plan] ready / needs fixes / not ready
[Page budget] 4 content + 1 reference/acks/ethics respected?
[Self-containment] does the paper close without the external material?
[Media] curated / labeled / baseline-anchored
[Release link] present in paper and reachable

Signals

GitHub stars
1k
Forks
155
Last commit
Sep 2026
Advanced
Item type
skill
Key
icassp-supplementary
Source
github.com/brycewang-stanford/awesome-journal-skills