{
 "schema_version": 1,
 "generated": "2026-10-20",
 "id": "tencent-hunyuan-auk--edit-words-in-existing-recording",
 "repo": "Tencent-Hunyuan/AuK",
 "repo_url": "https://github.com/Tencent-Hunyuan/AuK",
 "repo_slug": "tencent-hunyuan-auk",
 "title": "Replace or remove words in an existing recording",
 "page_title": "How to replace or remove words in an existing recording with AuK",
 "summary": "Change what is said in a recording by describing the edit in the instruction, keeping the voice and rest of the audio.",
 "who": "A podcast editor or voice-over producer who needs to fix one phrase in a finished take without re-recording it.",
 "problem": "Re-recording a single sentence means booking the speaker again and matching the room and tone.",
 "outcome": "An edited WAV file where the named words are replaced, inserted, or removed.",
 "steps": [
  "`git clone https://github.com/Tencent-Hunyuan/AuK`",
  "`cd AuK`",
  "`uv venv --python 3.10`",
  "`source .venv/bin/activate`",
  "`uv pip install -e .`",
  "`hf download tencent/AuK --local-dir ./ckpts/AuK`",
  "`hf download Qwen/Qwen2.5-Omni-3B --local-dir ./ckpts/Qwen2.5-Omni-3B` (inferred, check the README)",
  "`auk-infer --audio <input.wav> --instruction \"Replace '<old words>' with '<new words>'.\" --output <out.wav> --gen_seconds <seconds>` (inferred, check the README)"
 ],
 "agent_prompt": "Using the Tencent-Hunyuan/AuK repo, run auk-infer on <input.wav> with an instruction that replaces <old words> with <new words>, and write the result to <out.wav>. Verify by listening for the new words and checking that <out.wav> exists with a length close to <seconds>.",
 "agents": [
  "any"
 ],
 "difficulty": "Intermediate",
 "time": "1 hour",
 "basis": "readme",
 "caveat": "The README's content editing example sets a fixed --gen_seconds, so you need to pick a length that matches the edited sentence.",
 "category": "Content",
 "tags": [
  "Content"
 ],
 "lang": "python",
 "requirements": [
  "Python 3.10 and uv or Conda",
  "A GPU with enough VRAM to run the model (CPU offload is CUDA only)",
  "Disk space and network access to download the AuK weights and the Qwen2.5-Omni-3B encoder from Hugging Face or ModelScope",
  "Source audio or a reference clip for tasks that need one"
 ],
 "risk": "dual-use",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.8,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/tencent-hunyuan-auk/edit-words-in-existing-recording/",
 "md": "https://dedupedai.com/use-cases/tencent-hunyuan-auk/edit-words-in-existing-recording/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.",
 "api": "https://dedupedai.com/api/v1/usecases/tencent-hunyuan-auk--edit-words-in-existing-recording.json",
 "api_version": "v1"
}