Linly-Talker's System Architecture and Technology Convergence
Linly-Talker builds a new generation of digital human interaction paradigm by deeply integrating natural language processing and computer vision technology stacks. The system adopts a modular design, integrating four core components: Whisper speech recognition, Linly large language model, Microsoft TTS speech synthesis, and SadTalker vision generation. On the underlying architecture, these modules realize data interoperability through API interfaces, forming a complete processing link of speech input - semantic understanding - content generation - visual output. The highlight of the technology is reflected in its multimodal fusion capability, which can accurately translate text semantics into facial expressions and mouth movements of digital humans, achieving lip synchronization accuracy of over 95%.
- Language Understanding Layer: Based on Linly-7B model with 7 billion parameters, supporting mixed context understanding in English and Chinese.
- Visual presentation layer: using SadTalker's 3D face re-enactment technology, rendering 30 frames per second
- Interaction Control Layer: Built-in Dialog State Tracker (DST) to maintain more than 20 rounds of coherent dialogs
This answer comes from the articleLinly-Talker: An Intelligent Dialogue System for Digital People, Combining Big Language Modeling and Visual Modeling for a New Interactive ExperienceThe
