Hidden Neural Networks : A Framework for HMM / NN Hybrids

  • Søren Kamaric, Anders Stærmose
  • Published 2017
This paper presents a general framework for hybrids of Hidden Markov models (HMM) and neural networks (NN). In the new framework called Hidden Neural Networks (HNN) the usual HMM probability parameters are replaced by neural network outputs. To ensure a probabilistic interpretation the HNN is normalized globally as opposed to the local normalization… (More)