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What you can do with AuK

AuK is an open-source 1.5B speech model that generates and edits speech from natural-language instructions.

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Tencent-Hunyuan/AuK on GitHub

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What do you want to do?

5 use cases

  • Generate speech in a reference speaker's voice

    Turn a script into spoken audio that keeps the voice of a short reference recording using zero-shot TTS.

    View prompt
    Using the Tencent-Hunyuan/AuK repo, set up the environment and download the AuK and Qwen2.5-Omni-3B weights, then run auk-infer with <reference.wav> and the target text <target text> to write <out.wav>. Verify that <out.wav> exists and plays back at about the requested length, and report the path only if the speaker permission for <reference.wav> is confirmed.

  • Create speech from a voice description alone

    Generate a spoken line from a text description of the voice, with no reference audio needed.

    View prompt
    In the Tencent-Hunyuan/AuK repo, use auk-infer with only an --instruction that describes the voice and contains <target text>, and write the result to <out.wav>. Verify that <out.wav> is created and that its length is close to the requested seconds.

  • Replace or remove words in an existing recording

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

    View 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>.

  • Remove noise and reverb from a voice recording

    Restore a noisy or reverberant speech clip to clearer audio with one instruction and no separate tools.

    View prompt
    In the Tencent-Hunyuan/AuK repo, run auk-infer on <noisy.wav> with an instruction asking for noise and reverberation removal, and save the output as <clean.wav>. Verify that <clean.wav> exists and has the same duration as <noisy.wav>.

  • Turn a plain-language request into a ready-to-run command

    Use Prompt Enhancer to convert a free-form audio request into a complete auk-infer command and manifest.

    View prompt
    In the Tencent-Hunyuan/AuK repo, set the OpenAI-compatible LLM variables from .env, then run src/auk/infer/pe.py on <input.wav> with the request <plain-language request>. Verify that the printed auk-infer command and the JSON manifest under assets/after_pe/ are created, then run the printed command only after checking its output path.

How to use AuK

  1. Check you have what it needs: 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.
  2. Open Tencent-Hunyuan/AuK on GitHub and read the README and license.
  3. git clone https://github.com/Tencent-Hunyuan/AuK
  4. cd AuK
  5. uv venv --python 3.10
  6. source .venv/bin/activate

These steps come from our top use case, Generate speech in a reference speaker's voice, which also has a copy-paste agent prompt.

AuK alternatives · Best AI repos for Content

About this repo

  • Who it is forAudio producers, localization teams, and developers who need to generate, clean up, or edit speech from a script or an existing recording.
  • Why it is hot
  • LanguagePython
  • Sourcegithub.com/Tencent-Hunyuan/AuK · Back to Hot repos

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
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Questions about AuK

What is AuK?

AuK is an open-source 1.5B speech model that generates and edits speech from natural-language instructions. It is an open-source project on GitHub: https://github.com/Tencent-Hunyuan/AuK.

Who is AuK for?

Audio producers, localization teams, and developers who need to generate, clean up, or edit speech from a script or an existing recording.

What can I do with AuK?

5 use cases so far, for example: Generate speech in a reference speaker's voice; Create speech from a voice description alone; Replace or remove words in an existing recording. Each has steps and a copy-paste agent prompt.

What do I need to run AuK?

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.

What are alternatives to AuK?

Other hot AI repos in Content: Voice Studio, Anatomy, Comfy UI, Hyperframes, Earshot.

Is AuK safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.