Key optimizations to reduce real-time conversion latency include:
Hardware configuration
- Use of NVIDIA GPUs (e.g. RTX 3060 and above) dramatically accelerates processing
- Ensure that the latest version of the CUDA driver is installed (recommended 12.4)
parameterization
- Reduce the number of diffusion steps to between 4 and 10 (mass and delay balance)
- Set Block Time to about 0.18 seconds
- Enable FP16 half-precision calculations (
--fp16 True)
system optimization
- Routing signals using virtual audio devices such as VB-CABLE
- Close other programs that consume GPU resources
- Setting High Performance Power Mode for Windows Systems
After optimization on RTX 3060, the latency can be controlled at around 430 ms, which fully meets the demand of real-time scenarios such as live broadcasting and gaming etc. Latency will be significantly higher in CPU mode, and it is recommended to use it for testing only.
This answer comes from the articleSeed-VC: supports real-time conversion of speech and song with fewer samplesThe
May not be reproduced without permission:AI productivity tools " How to optimize Seed-VC's real-time speech conversion performance?
