Product Introduction
NavTalk: A Full-Stack Platform Redefining the Way Digital Humans are Built
NavTalk is a revolutionary real-time virtual digital human construction platform that integrates the latest cutting-edge artificial intelligence technologies. It not only provides developers with an end-to-end complete solution but also significantly lowers the barriers to developing high-quality digital humans, truly realizing an intelligent human-machine interaction experience that is "what you see is what you get."
By deeply integrating three core modules—computer vision, voice interaction, and intelligent decision-making systems—NavTalk creates digital entities with highly human-like expressive capabilities. Moreover, it equips them with the ability to handle complex conversations, make dynamic decisions, and deliver real-time multimodal outputs. This makes it widely applicable in various scenarios, including intelligent customer service, virtual assistants, educational training, brand marketing, and social entertainment.
Five-Layer Technology Stack Architecture: Modular Design and Flexible Expansion
The NavTalk platform adopts a five-layer technology architecture, with each layer designed around the three core requirements of "real-time performance, multimodality, and low latency":
💬 Interaction Layer
Dual-channel parallel interaction: Supports simultaneous voice and text input
End-to-end audio streaming ensures natural conversation rhythm
Guarantees voice interaction stability under high concurrency
🧠 Cognitive Layer
Core decision-making hub powered by large language models (GPT)
Supports multi-turn dialogue, context retention, intent recognition, and emotional understanding
Knowledge reasoning and proactive dialogue strategy engine
🔄 Synchronization Layer
Millisecond-level synchronized audio-video-animation output
Precision lip-sync based on timestamp and phoneme alignment
Real-time frame compensation and latency correction for seamless experience
📡 Transmission Layer
Low-latency audio and video distribution network
Uses the mainstream protocol WebRTC
Jitter resistance and weak network adaptation optimization
Core Competencies Explained: Not Just Intelligent, But Also Understanding "Human Nature"
🎭 Multimodal Character Building
Predefined Template Library: Built-in library with over 10 character models, suitable for typical application scenarios in business, education, healthcare, entertainment, and more.
Custom Characters: Users can customize a single photo or video clip to generate a highly realistic digital human model.
Style Control: Customizable character emotional styles and expressiveness parameters.
🗣 Intelligent Voice Interaction
Voice Recognition: Supports over 50 languages and dialects, with a real-time recognition accuracy exceeding 95%.
Voice Synthesis: Offers 8 different voice tones.
Low-latency Q&A: Average response time for inquiries is controlled within 2 seconds, approaching natural conversation speed.
Multi-turn Dialogue Support: Ensures coherent and natural dialogue through context tracking and topic management mechanisms.
👄 Precise Lip Sync
Wav2Lip Hybrid Model Architecture: Combines facial keypoint detection with speech-driven animation generation.
Super-resolution Rendering: Supports 1080P video output, preserving micro-expression details.
Real-time Reconstruction: Real-time rendering of corresponding lip sync animation based on voice input, achieving "second-level response."
🧠 AI-Driven Dialogue Engine
Enterprise Knowledge Integration: Supports connecting private knowledge bases, CRM systems, FAQ knowledge graphs, and other external systems to achieve a business Q&A closed loop.
Intent Recognition System: Identifies users' true intentions through context and behavior recognition, enabling personalized recommendations and guidance.
Multimodal Output Interaction: Simultaneously outputs voice, text, and animated expressions to enhance interaction immersion.
Function Calling: Embedded interface system can call APIs during dialogue, such as:
Querying weather, stock, and flight information.
Triggering internal business processes (e.g., order processing).
Controlling IoT smart devices (e.g., turning on lights, setting air conditioning).
Deep integration with third-party service systems (e.g., ERP/CRM).
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