interspeech-supplementary
Use when deciding what accompanies an INTERSPEECH paper beyond its 4 pages — audio sample pages and multimedia for listening-based judgment, what reviewers may ignore versus must see, the references-and-acknowledgments page's strict scope, and packaging extra analyses when no reviewed appendix exists.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill interspeech-supplementary --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.
# INTERSPEECH Supplementary Material Interspeech's supplement story is inverted from big-ML venues: there is **no reviewed appendix**. A regular paper is 4 pages of content plus one page for references and acknowledgments only — everything else is optional accompaniment that reviewers may open but never owe you. Design the paper to stand alone, then design the accompaniment to be irresistible. (Lo
What does the interspeech-supplementary skill do?
Use when deciding what accompanies an INTERSPEECH paper beyond its 4 pages — audio sample pages and multimedia for listening-based judgment, what reviewers may ignore versus must see, the references-and-acknowledgments page's strict scope, and packaging extra analyses when no reviewed appendix exists.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill interspeech-supplementary --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 909 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.