espnet_onnx
The library simplifies the process of exporting, quantizing, and optimizing ESPnet models to the ONNX format independently of PyTorch. It facilitates ASR and TTS demonstrations on Google Colab utilizing pre-existing models without additional requirements. Capable of handling both pretrained and custom models, it provides detailed configuration options and supports GPU inference to enhance processing speeds. It also offers extensive installation and deployment guidelines to assist developers in integrating the library across multiple environments effectively.
