sherpa is an open-source speech-text-text inference framework using PyTorch, focusing exclusively on end-to-end (E2E) models, namely transducer- and CTC-based models. It provides both C++ and Python APIs.

This project focuses on deployment, i.e., using pre-trained models to transcribe speech. If you are interested in how to train or fine-tune your own models, please refer to icefall.

We also have other similar projects that don't depend on PyTorch:

• sherpa-onnx
• sherpa-ncnn

sherpa-onnx and sherpa-ncnn also support iOS, Android and embedded systems.

Please refer to the documentation at https://k2-fsa.github.io/sherpa/

Try sherpa from within your browser without installing anything: https://huggingface.co/spaces/k2-fsa/automatic-speech-recognition