icassp-topic-selection
Use when deciding whether a project fits ICASSP, the IEEE Signal Processing Society flagship spanning all signal processing, and specifically for the ICASSP-versus-Interspeech routing decision for speech work, plus routing to ICIP, EUSIPCO, WASPAA, SPS journals, or ML venues by identifying the signal-processing primitive of the contribution.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icassp-topic-selection --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# ICASSP Topic Selection Use this before writing. ICASSP is the **IEEE Signal Processing Society flagship**, and its defining feature is **breadth**: speech and audio, image and video, communications and radar, sensor arrays, estimation and detection theory, and machine learning for signals all review under one roof. Speech is **one track among many**, not the identity of the venue. A project fits when its contribution changes a **signal-processing primitive** and can be proved in four pages. ## Find the signal-processing primitive Name what the contribution actually is: - A new **estimator, transform, filter, or detector**; a new **representation or embedding**; a new **objective or inference procedure**; a **resource** (corpus/benchmark); or a **model-based-deep-learning** result that changes a block of the signal chain. - If no signal-processing primitive exists — the paper is generic ML with no signal model — ICASSP is likely the wrong venue (see the re-route table). ## The ICASSP-vs-Interspeech routing decision (read this for any speech paper) Speech papers can go to either venue, and picking wrong costs a cycle. They differ on mechanics as much as on scope: | Dimension | ICAS
- Find the signal-processing primitive
- The ICASSP-vs-Interspeech routing decision (read this for any speech paper)
- Fit signal table (full ICASSP breadth)
- Re-route table
- Sharpening moves before committing
- Output format
What does the icassp-topic-selection skill do?
Use when deciding whether a project fits ICASSP, the IEEE Signal Processing Society flagship spanning all signal processing, and specifically for the ICASSP-versus-Interspeech routing decision for speech work, plus routing to ICIP, EUSIPCO, WASPAA, SPS journals, or ML venues by identifying the signal-processing primitive of the contribution.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icassp-topic-selection --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Awesome-Journal-Skills, a repository with 984 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.