Core tunable parameter system
Kokoro WebGPU provides multi-dimensional speech synthesis control:
1. Model parameterization
- Precision control: Supports different quantization levels such as fp32/fp16/q8/q4
- computational back-end: webgpu/wasm/cpu running environments are available.
2. Speech feature customization
- Tone Selection: Built-in af_heart and other diverse sound templates
- pitch control: 0.5-2.0x speed adjustment via speed parameter
- Rhythmic control: split_pattern defines the text segmentation rules.
3. Output control
Support 24kHz sample rate WAV format output, compatible with all major audio playback devices. In the Python environment can also be realized through the IPython.display Jupyter embedded playback.
Parameter Optimization Recommendations
The webgpu backend is recommended to use fp32 precision to get the best synthesis quality, while the mobile side can consider q8 quantization to balance performance and effect
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 " What speech synthesis parameter tuning is supported by Kokoro WebGPU?
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