interspeech-artifact-evaluation
Use when packaging code, models, and audio artifacts for an INTERSPEECH paper — anonymous demo pages and sample audio during double-blind review, public release at camera-ready, checkpoint and recipe distribution, voice-data licensing and speaker-consent hygiene, and the ethics of releasing synthesis or cloning systems.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill interspeech-artifact-evaluation --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 Artifact Evaluation Interspeech has no badge-granting artifact committee; the artifact culture is community-enforced instead. Reviewers listen to your samples, and post-publication readers judge the paper by whether the recipe reproduces. This skill treats artifacts in the two states an Interspeech cycle forces: **anonymous during review, permanent after acceptance**. Check the current author instructions for what may be attached versus linked — attachment rules vary by cycle. ## The speech-specific artifact set | Artifact | Review-time form | Post-acceptance form | |---|---|---| | Audio samples (TTS/VC/enhancement) | Anonymous static demo page or attached files | Permanent samples page linked in camera-ready | | Code + training recipe | Anonymized repo (no usernames in history/CI) | Public repo, tagged at the paper's commit | | Model checkpoints | Usually withheld (size, identity risk) | Hosted release with license and card | | Data/corpus contribution | Described + license stated in paper | Archived with DOI, documented splits | | Scoring/protocol scripts | In the anonymized repo | In the public repo — the piece most reused | ## Anonymous demo pages without leaks Au
- The speech-specific artifact set
- Anonymous demo pages without leaks
- Voice data is personal data
- Minimum viable recipe
- Timing across the cycle
- Leak patterns seen in the wild
- Checkpoint release decision aid
- Output format
What does the interspeech-artifact-evaluation skill do?
Use when packaging code, models, and audio artifacts for an INTERSPEECH paper — anonymous demo pages and sample audio during double-blind review, public release at camera-ready, checkpoint and recipe distribution, voice-data licensing and speaker-consent hygiene, and the ethics of releasing synthesis or cloning systems.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill interspeech-artifact-evaluation --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.