{
 "schema_version": 1,
 "generated": "2026-10-19",
 "id": "leonxlnx-earshot--detect-real-vs-synthesized-audio",
 "repo": "Leonxlnx/earshot",
 "repo_url": "https://github.com/Leonxlnx/earshot",
 "repo_slug": "leonxlnx-earshot",
 "title": "Tell a real recording from a code-made sound",
 "page_title": "How to tell a real recording from a code-made sound with earshot",
 "summary": "Score files for realness and compare them to reference recordings or each other.",
 "who": "Audio-minded builder checking whether a sound in a project reads as a real recording or an obvious synthesis",
 "problem": "It is hard to tell, without careful listening, whether a sound will pass as real or give itself away.",
 "outcome": "A real versus synthesized verdict with evidence and per-window scores, plus a plain-words A/B of two sounds.",
 "steps": [
  "Run `earshot realness FILE...` on the files you want to check.",
  "Run `earshot ab A B` to compare two sounds or two trims in words.",
  "Run `earshot compare FILE --refs DIR` to see the nearest reference recordings.",
  "Use the findings to decide which sound to rework."
 ],
 "agent_prompt": "Use earshot realness on <files> and earshot ab on the two closest candidates, then tell me which one reads as most real and why. Verify with a listening check, since the realness model can be fooled.",
 "agents": [
  "any"
 ],
 "difficulty": "Intermediate",
 "time": "30 minutes",
 "basis": "readme",
 "caveat": "The README warns the realness model is easy to fool (a modal resonator plus a room and noise floor reads as real), so do not treat the verdict as proof.",
 "category": "Content & Creative",
 "tags": [
  "Content & Creative"
 ],
 "lang": "python",
 "requirements": [
  "Python",
  "CPU only, no GPU needed",
  "Local models load on first call (about 20 to 40 seconds per CLI call)",
  "No account or paid key for core features",
  "Optional Gemini key only for the `llm` command",
  "Reference recordings for `forge --refset` are not in the repo; bring your own with `--refs DIR`"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "best": false,
 "score": 0.483,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/leonxlnx-earshot/detect-real-vs-synthesized-audio/",
 "md": "https://dedupedai.com/use-cases/leonxlnx-earshot/detect-real-vs-synthesized-audio/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly."
}