The speed of speech generation can be optimized on devices without an NVIDIA graphics card by doing the following:
- Prefer lightweight models: The Kitten-TTS core model is only 25MB, and the default configuration is optimized for the CPU
- Reasonable setting of chunking parameters: When processing long text, it is recommended that the chunk size be adjusted to 300-500 characters to reduce the pressure of single processing.
- Turn off real-time waveform display: set in config.yaml
ui.show_waveform: falseReduces CPU load - Deployment with Docker: Use
docker-compose-cpu.ymlPredefined optimized configurations including memory management parameters - Upgrading the hardware base: Recommended to use a CPU that supports the AVX instruction set, which can increase the processing speed by about 40%.
With the above adjustments, a stable generation rate of about 500 words per minute can be achieved even on embedded devices such as the Raspberry Pi.
This answer comes from the articleKitten-TTS-Server: a self-deployable lightweight text-to-speech serviceThe
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