iceychris/LibreASR
An on-premises, streaming speech recognition system using deep learning models (RNN-Transducer) built with PyTorch and fastai.
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LibreASR is an on-premises speech recognition system that performs real-time streaming audio-to-text transcription. It is built using PyTorch and the fastai library, implementing RNN-Transducer architecture for the underlying deep learning models. The system is designed to run locally without cloud dependencies, making it suitable for privacy-sensitive applications.
Frequently asked
- What is iceychris/LibreASR?
- An on-premises, streaming speech recognition system using deep learning models (RNN-Transducer) built with PyTorch and fastai.
- Is LibreASR open source?
- Yes — iceychris/LibreASR is open source, released under the MIT license.
- What language is LibreASR written in?
- iceychris/LibreASR is primarily written in Python.
- How popular is LibreASR?
- iceychris/LibreASR has 679 stars on GitHub.
- Where can I find LibreASR?
- iceychris/LibreASR is on GitHub at https://github.com/iceychris/LibreASR.