Five-step process for speech generation
- Configuration file modification:: Editorial
voices.jsonSelect the target language and tone (e.g.'en_US'(English American female voice) - text input: In the example script
hello.py(used form a nominal expression)text_to_speakVariables populate the target text (SSML markup supported) - parameter tuning: Adjustments
speedSpeech rate (0.5-2.0),pitchPitch (-20~+20) and other parameters - Execution generation: Run
python hello.pytrigger a synthetic process - output management: Generated by default
output.wavThe program can be modified by modifying thesoundfile.writeParameter change format
Advanced Function Operation
- batch file: Text lists can be processed through a loop structure
- Real-time streaming output: Call
streamThe interface implements phrase-by-phrase playback - phonetic fusion: experimental support for mixing multiple sound features (requires modification of model_config.json)
Debugging Tips
When a synthetic exception occurs, it is recommended to: check the MD5 checksum value of the onnx file, confirm that the Python environment is a 64-bit version, and upgrade the ONNX Runtime to the latest version.
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 " What are the exact steps to generate a customized voice using Kokoro-ONNX?
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