k2-fsa/sherpa

k2-fsa/sherpa has 1,019 GitHub stars and 156 forks. GitHot measured +2 stars in 24 hours and +4 in 7 days. Last checked 2026-11-12 08:43 UTC. Last push 2026-11-02.

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Speech-to-text server framework with next-gen Kaldi

1,019 스타 156 forks +2 in 24h

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in 24h: +2
in 7 days: +4
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in 1 month: 업데이트 지연

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README.md

Original

sherpa

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

Installation and Usage

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

Try it in your browser

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

k2-fsa/sherpa

측정된 스타 증가

README.md

sherpa

Installation and Usage

Try it in your browser

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