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How to replace or remove words in an existing recording with AuK

Change what is said in a recording by describing the edit in the instruction, keeping the voice and rest of the audio.

  • Content
  • Intermediate
  • 1 hour
  • From the README
  • Any agent

Authorization notice. AuK is dual-use. Only use it on software, sites and systems you own or have explicit permission to test.

Who it is forA podcast editor or voice-over producer who needs to fix one phrase in a finished take without re-recording it.

The problemRe-recording a single sentence means booking the speaker again and matching the room and tone.

The outcomeAn edited WAV file where the named words are replaced, inserted, or removed.

What you need first

  • 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

Steps

  1. git clone https://github.com/Tencent-Hunyuan/AuK
  2. cd AuK
  3. uv venv --python 3.10
  4. source .venv/bin/activate
  5. uv pip install -e .
  6. hf download tencent/AuK --local-dir ./ckpts/AuK
  7. hf download Qwen/Qwen2.5-Omni-3B --local-dir ./ckpts/Qwen2.5-Omni-3B (inferred, check the README)
  8. auk-infer --audio <input.wav> --instruction "Replace '<old words>' with '<new words>'." --output <out.wav> --gen_seconds <seconds> (inferred, check the README)

Prompt for your agent

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>.

Caveat. The README's content editing example sets a fixed --gen_seconds, so you need to pick a length that matches the edited sentence.

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