The real-time interaction system of Yuanzhen Digital Human Platform solves the key pain points in virtual digital human applications. Its voice-driven technology adopts end-to-end neural network architecture, which can convert voice signals into mouth, expression and body movements of digital people in real time, with latency controlled within 200 milliseconds.
Key technology breakthroughs include:
- High-precision speech feature extraction algorithm, supports Mandarin and multiple dialects recognition.
- Cross-modal generative modeling for accurate mapping of speech to visual representations
- Adaptive rendering engine to ensure consistent performance on different end devices
In terms of multi-platform live broadcasting, the system adopts a distributed push-flow architecture, which can synchronize the distribution of live content to mainstream platforms such as Jittery, Taobao, and Shutterbug, and maintain the consistency of real-time interactions between platforms. This combination of technologies enables digital human live broadcasts to have a sense of presence and interactivity comparable to that of real anchors, while obtaining the scale effect that traditional live broadcasts cannot achieve.
This answer comes from the articleYuanzhen digital people: digital people live, oral short video, commercialization AI avatar live toolThe
