Optimization solutions
In the absence of GPU acceleration, processing efficiency can be significantly improved by:
- Hardware layer optimization::
- Ensure CPU supports AVX2 instruction set (newer Intel/AMD processors)
- Close other programs that consume CPU resources
- Set the priority of the Python process to "high" in the task manager
- Software Configuration Program::
- Install the light version of PyTorch:
pip install torch torchaudio --index-url https://download.pytorch.org/whl/cpu - Modify the Abogen configuration (config.ini): Set the
batch_size=1cap (a poem)threads=4 - utilization
abogen --cli --low-memorycommand activation
- Install the light version of PyTorch:
- Processing strategy optimization::
- Splitting large documents into multiple sections for separate processing
- Selection of a lower quality speech model (e.g., not selecting the highest intelligibility option)
- Disable Live Preview
Additional Suggestions: Running efficiency under Linux is usually 15-20% higher than Windows, consider using WSL2. For very long text (more than 10,000 words), it is recommended to use batch processing + night running mode.
This answer comes from the articleAbogen: a tool for converting multiple text formats to audiobooksThe
May not be reproduced without permission:AI productivity tools " How to improve Abogen's speech generation speed on CPU devices?
