A three-phase solution for mobile optimization
The following optimization strategies can be implemented for mobile device characteristics:
- Load Stage Optimization::
- Preloading 300MB model files using Service Worker
- Caching of downloaded models using IndexedDB - run-time optimization::
- Force the use of WASM backends to avoid WebGPU compatibility issues:
"`javascript
device: 'wasm'
“`
- Enable q4f16 quantization format to reduce memory footprint - Output Optimization::
- Reduced sample rate to 16kHz (resampling required)
- Replacement of WAV format with opus encoding
- Streaming output to avoid long audio memory accumulation
Measurement data shows that after optimization, the memory consumption of mobile devices can be reduced by 60%, and the first response time is shortened by 40%.
This answer comes from the articleKokoro WebGPU: A Text-to-Speech Service for Offline Operation in BrowsersThe
May not be reproduced without permission:AI productivity tools " How to optimize Kokoro TTS on mobile devices with limited resources?
