Digital Human Series (7) : Performance and Architecture Breakthrough with Python & WebRTC

Digital Human System Architecture Upgrade: Sharing Experiences on Performance Optimization and Protocol Selection
Real-time Digital Human Architecture Refactoring: Technical Migration from Java to Python and WebSocket to WebRTC

Introduction:
🚀 Project Background
In our real-time digital human project, we completed two critical architectural upgrades:
Language Migration: Transitioned from Java to Python, leveraging asyncio coroutines to optimize high-concurrency audio/video stream processing and reduce latency through in-memory computation.
Protocol Upgrade: Switched from WebSocket to WebRTC, addressing high latency issues in weak network environments and achieving millisecond-level audio-video synchronization.
📌 Key Optimization Points
Performance Boost: Python's asynchronous model simplifies real-time data stream management and reduces latency.
Audio-Video Synchronization: Memory-based streaming with SingleFrameAudioStreamTrack and SingleFrameVideoStreamTrack avoids disk I/O bottlenecks.
👇 Engagement: Welcome to discuss technical details!

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Digital Human Series

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