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qualityProvides high-quality text-to-speech synthesis with 10 natural voices, emotion control, and dynamic pacing for professional applications requiring expressive speech output.
Last updated -
5
JavaScript
MIT License
ONNX (Open Neural Network Exchange) is an open format for representing machine learning models, allowing models to be transferred between different frameworks and tools.
Why this server?
Uses ONNX runtime for the Kokoro neural voice models, providing high-quality text-to-speech synthesis with multiple voices and emotional expressions
Why this server?
Utilizes ONNX model files for text-to-speech processing, specifically loading the Kokoro model weights for voice generation.
Why this server?
Uses ONNXRuntime for efficient machine learning model execution to power OCR capabilities in the MCP server.
Why this server?
Supports exporting YOLO models to ONNX format for compatibility with different runtime environments
Why this server?
Uses the ONNX runtime to run the Kokoro TTS model, enabling high-quality text-to-speech conversion without requiring an API key.