inclusionAI/Ming-UniAudio
Ming-UniAudio: Speech LLM for Joint Understanding, Generation and Editing with Unified Representation
- Stars
- 459
- Forks
- 31
- Open issues
- 7
- Last push
- 10mo ago
About Ming-UniAudio
Ming-UniAudio is a free, open-source AI voice and audio tool by inclusionAI, written mainly in Python. Ming-UniAudio: Speech LLM for Joint Understanding, Generation and Editing with Unified Representation. It has 459 GitHub stars and 31 forks, and was last updated 10mo ago. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Language
- Python
- Stars
- 459
- Last update
- 10mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not required
- Self-hostable
- Not stated
Similar free tools
transformers168k stars · 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Speech19k stars · A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
VoxCPM40k stars · VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning
speechbrain12k stars · A PyTorch-based Speech Toolkit
mlx-audio8.1k stars · A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.
Amphion10k stars · Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio,
Ming-UniAudio FAQ
Is Ming-UniAudio free?
Yes. Ming-UniAudio is open source and free to use. It's released under the MIT license, a standard open-source license.
Does Ming-UniAudio run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does Ming-UniAudio need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is Ming-UniAudio still maintained?
It was last updated 10mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to Ming-UniAudio?
Similar free, open-source tools include transformers, Speech, VoxCPM, speechbrain.