Business Scenario Requirements
Kokoro-ONNX meets the needs of customer service systems, audiobook production, and other scenarios that require dynamic switching of voice outputs with different timbres through the following mechanisms:
Realization of the program
- Voice Library Extension: in
voices.jsonto add custom tone configurations, with each entry containing thespeaker_idand language marking - dynamic loading (computing): Modification
hello.py(used form a nominal expression)SynthesizerClass initialization parameters, passed to the targetspeaker_id - mixed output: Use
soundfileLibrary merges multiple voice clips for conversational effect - Real-time switching: Create a WebSocket service, via API parameter
?voice=aliceDynamic Designated Pronunciator
caveat
1) It is recommended to store different tone models in a separate directory 2) Keep ONNX Runtime session long when switching high frequency 3) Make sure to use UTF-8 encoding for json file for Chinese and other non-Latin languages.
This answer comes from the articleKokoro-ONNX: Efficient Text-to-Speech Tool with Multi-Language and Multi-Voice SupportThe
May not be reproduced without permission:AI productivity tools " How to realize multi-role voice switching for Kokoro-ONNX in business applications?
