voicechat2
voicechat2 enables rapid, local AI voice chat with low latency using WebSocket and AMD RDNA3 technology.
English
English
voicechat2 is a fast, fully localized AI voice chat application based on WebSocket, enabling users to implement voice-to-voice instant messaging in a local environment. It utilizes AMD RDNA3 graphics cards and Faster Whisper technology, significantly reducing the latency of voice communication and improving communication efficiency. This product is suitable for developers and technicians who require fast response and real-time communication.
Demand population:
"The target audience is mainly developers and technology enthusiasts who need to perform fast voice communication and real-time interaction in a local environment. Due to its low latency and high efficiency, this product is particularly suitable for occasions where fast response and real-time communication is needed, such as online meetings, remote collaboration, etc."
Example of usage scenarios:
Developers use voicechat2 for project discussions to achieve fast team communication.
The technical team uses voicechat2 for remote collaboration to improve work efficiency.
Educators conduct online teaching through voicechat2 to achieve real-time interaction.
Product Features:
Using WebSocket to achieve low-latency voice communication
Supports AMD RDNA3 graphics card and Faster Whisper technology to further reduce latency
Provides multilingual models and TTS support, such as Coqui TTS VITS
Contains convenient startup scripts to simplify deployment process
Supports multiple operating systems, including Ubuntu LTS
Provide detailed installation and usage guides, which facilitate users to get started quickly
Tutorials for use:
1. Visit the GitHub page, clone or download the voicechat2 project.
2. Install the required ROCm or CUDA according to the system environment.
3. Use conda or mamba to manage Python environment and install dependencies.
4. Configure system preset conditions according to the installation guide.
5. Run the startup script of voicechat2 and start voice chat.
6. Adjust the voice model and TTS settings as needed to optimize communication effects.
