Professional solutions for precise synchronization of audio and video
Avatar lip-synchronization is mainly caused by audio processing latency and animation generation efficiency, LiteAvatar ensures synchronization through the following scheme:
- Optimizing the ASR pipeline::
- Using the project's built-in ModelScope speech recognition model, its latency has been optimized to less than 200ms
- Set the appropriate audio buffer size (512-1024 samples recommended)
- Precise timing control::
- Add at startup
--sync_threshold 0.1Parameter tuning synchronization tolerance - start using
enable_av_sync=TrueParameter activated audio/video synchronization compensation algorithm
- Add at startup
- Performance Monitoring and Tuning::
- Monitor CPU utilization at runtime and keep it below 80% to ensure real-time performance
- Dynamically reduce the number of mouth keypoints (from 100 to 50) when the system load is high
- Post-calibration program::
- utilization
calibrate_sync.pyScripting for latency measurement - Setting in config.json
audio_offsetManual compensation delay
- utilization
Tip: Ambient noise affects ASR accuracy, it is recommended to use in a quiet environment or add noise suppression preprocessing.
This answer comes from the articleLiteAvatar: Audio-driven 2D portraits of real-time interactive digital people running at 30fps on the CPUThe
May not be reproduced without permission:AI productivity tools " How to solve the problem of the virtual anchor's mouthpiece being out of sync with the audio?
