The Rwth Neural Network Toolkit for Speech Recognition

@inproceedings{Wiesler2014TheRN,
  title={The Rwth Neural Network Toolkit for Speech Recognition},
  author={Simon Wiesler and Alexander Richard and Pavel Golik and Ralf Schl{\"u}ter and Hermann Ney},
  year={2014}
}
This paper describes the new release of RASR the open source version of the well-proven speech recognition toolkit developed and used at RWTH Aachen University. The focus is put on the implementation of the NN module for training neural network acoustic models. We describe code design, configuration, and features of the NN module. The key feature is a high flexibility regarding the network topology, choice of activation functions, training criteria, and optimization algorithm, as well as a… CONTINUE READING