Description
#Digital Human #Real-time Interaction #AI Live Streaming #Virtual Human #WebRTC #Open Source Project
LiveTalking is an open-source engine designed for real-time interactive digital humans, featuring low-latency conversations, voice-driven lip-syncing, and multi-scenario streaming capabilities. It supports various digital human model solutions such as ernerf, MuseTalk, Wav2Lip, Ultralight, making it suitable for 24/7 unattended live streaming, AI customer service, large screen interactions, virtual hosts, and more, with strong commercial deployment capabilities overall.
Multi-model Support: Built-in models like ernerf, MuseTalk, Wav2Lip, Ultralight can be flexibly chosen based on effect and performance requirements.
Real-time Voice Interaction: Supports voice-driven digital humans speaking, suitable for building a low-latency real-time conversation experience.
Voice Cloning: Can be combined with voice cloning capabilities to give digital humans a closer expression to the target voice.
Interruptible Conversations: Supports being interrupted by users during speaking, making it closer to real human communication rhythm.
Multiple Streaming Methods: Supports output methods like WebRTC, RTMP, virtual cameras, facilitating integration into live streaming, meetings, and interactive large screens.
Multi-concurrency Capability: Suitable for deployment in AI customer service, unattended live streaming, digital employees, and other scenarios requiring stable service.
Commercial Application Scenarios: Can be used for 24/7 unattended live streaming, AI hosts, smart customer service, exhibition large screen interactions, and brand digital humans.
LiveTalking is an open-source engine designed for real-time interactive digital humans, featuring low-latency conversations, voice-driven lip-syncing, and multi-scenario streaming capabilities. It supports various digital human model solutions such as ernerf, MuseTalk, Wav2Lip, Ultralight, making it suitable for 24/7 unattended live streaming, AI customer service, large screen interactions, virtual hosts, and more, with strong commercial deployment capabilities overall.
Software Features
Multi-model Support: Built-in models like ernerf, MuseTalk, Wav2Lip, Ultralight can be flexibly chosen based on effect and performance requirements.
Real-time Voice Interaction: Supports voice-driven digital humans speaking, suitable for building a low-latency real-time conversation experience.
Voice Cloning: Can be combined with voice cloning capabilities to give digital humans a closer expression to the target voice.
Interruptible Conversations: Supports being interrupted by users during speaking, making it closer to real human communication rhythm.
Multiple Streaming Methods: Supports output methods like WebRTC, RTMP, virtual cameras, facilitating integration into live streaming, meetings, and interactive large screens.
Multi-concurrency Capability: Suitable for deployment in AI customer service, unattended live streaming, digital employees, and other scenarios requiring stable service.
Commercial Application Scenarios: Can be used for 24/7 unattended live streaming, AI hosts, smart customer service, exhibition large screen interactions, and brand digital humans.
