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• espnet

  15 7,892 10.0 Python

  End-to-End Speech Processing Toolkit

  

Yes, there are really good open source speech to text tools (automatic speech recognition (ASR) is the common name for that).

Kaldi (https://kaldi-asr.org/) is probably the most well known, and supports hybrid NN-HMM and lattice-free MMI models. Kaldi is used by many people both in research and in production.

Lingvo (https://github.com/tensorflow/lingvo) is the open source version of Google speech recognition toolkit, with support mostly for end-to-end models.

ESPNet (https://github.com/espnet/espnet) is good and well known for end-to-end models as well.

RASR (https://github.com/rwth-i6/rasr) + RETURNN (https://github.com/rwth-i6/returnn) are very good as well, both for end-to-end models and hybrid NN-HMM, but they are for non-commercial applications only (or you need a commercial licence) (disclaimer: I work at the university chair which develops these frameworks).

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