C++ implementation of LSTM (Long Short Term Memory), in Kaldi's nnet1 framework. Used for automatic speech recognition, possibly language modeling etc, the training can be switched between CPU and GPU(CUDA). This repo is now merged into official Kaldi codebase(Karel's setup), so this repo is no longer maintained, please check out the Kaldi project instead.
updated at Jan. 7, 2024, 4:14 p.m.
Conversion of recurrent neural network language models to weighted finite state transducers
updated at Aug. 18, 2023, 3:37 a.m.
Utilities for manipulating finite state transducers with the OpenFst library.
updated at June 8, 2023, 9:35 p.m.
Collection of three method of moments based algorithms for learning stochastic languages.
updated at June 10, 2021, 11:31 a.m.