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k2-fsa-2 / packages / k2 1.20.dev20220918

FSA/FST algorithms, differentiable, with PyTorch compatibility

Installers

  • win-64 v1.19.dev20220918
  • linux-64 v1.20.dev20220918

conda install

To install this package run one of the following:
conda install k2-fsa-2::k2

Description

The vision of k2 is to be able to seamlessly integrate Finite State Automaton (FSA) and Finite State Transducer (FST) algorithms into autograd-based machine learning toolkits like PyTorch and TensorFlow. For speech recognition applications, this should make it easy to interpolate and combine various training objectives such as cross-entropy, CTC and MMI and to jointly optimize a speech recognition system with multiple decoding passes including lattice rescoring and confidence estimation. We hope k2 will have many other applications as well.


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