Tencent-Hunyuan/AuK
AuK: An Open-Source Foundational Model for Speech Generation and Editing
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README & documentation
Source previewRead the project’s overview, installation instructions and usage examples. The original README is the source of truth.
💻 Try our model on the HuggingFace Space · ModelScope Space! English https://github.com/user-attachments/assets/d07332fc-5f69-4f16-9d00-a7443cc19e6a 中文 https://github.com/user-attachments/assets/c532bbdb-e6ce-4434-a9a5-16f29a8d4135 AuK is a 1.5B foundation model for speech generation and editing. Trained on millions of hours of diverse audio data, AuK supports zero-shot and instruction-based TTS, content and acoustic editing, paralinguistic editing, speech enhancement, and source separation through a unified natural-language instruction interface. AuK has two variants: AuK exposes every task through the same natural-language instruction interface. The table below groups the supported tasks by category, with a short description and a link to its section in the Cookbook, where you'll find instruction templates plus CLI and Python examples. Clone the repository, then choose either uv or Conda to create an isolated Python 3.10 environment. The default installation includes PyTorch, TorchAudio, and TorchVision. If your platform requires a specific CPU or CUDA build, install a matching PyTorch stack for your platform first, then install AuK…
Read the full README ↗ · Preview checked 2026-10-30T01:40:23.626Z
Inside the original README — Document outline
- AuK: An Open-Source Foundational Model for Speech Generation and Editing
- News
- Demo
- Contents
- Introduction
- Performance
- Model Architecture
- Supported Tasks
- Quick Start
- Installation
- uv
- Conda
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What this repository does
AuK: An Open-Source Foundational Model for Speech Generation and Editing
Repository facts
- Owner
- Tencent-Hunyuan
- Primary language
- Python
- Stars
- 1,091
- Forks
- 80
- Open issues + pull requests
- 7
- License
- Other
- Archived
- No
- Default branch
- main
- Created
- 2026-08-19T01:39:24.000Z
- Last push
- 2026-09-16T04:37:08.000Z
Topics and intended use
Owner-supplied topics: deep-learning, foundation-models, python, pytorch, separation, speaker-extraction, speech, speech-editing, speech-enhancement, text-to-speech, zero-shot-tts
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Source and freshness
Source: GitHub. Metadata observed 2026-09-18T06:40:03.247Z. Daily imports are snapshots, not real-time monitoring.
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