HOW CONNECTIONIST MODELS COULD IMPROVE MARKOV MODELS FOR SPEECH RECOGNITION

This publication has 8 references indexed in Scilit:

• Statistical Inference in Multilayer Perceptrons and Hidden Markov Models with Applications in Continuous Speech Recognition
  Published by Springer Nature ,1990
• Speech pattern discrimination and multilayer perceptrons
  Computer Speech & Language, 1989
• Isolated digit recognition experiments using the multi-layer perceptron
  Speech Communication, 1988
• On a model-robust training method for speech recognition
  IEEE Transactions on Acoustics, Speech, and Signal Processing, 1988
• An introduction to computing with neural nets
  IEEE ASSP Magazine, 1987
• An integrated-circuit-based speech recognition system
  IEEE Transactions on Acoustics, Speech, and Signal Processing, 1986
• Mixture autoregressive hidden Markov models for speech signals
  IEEE Transactions on Acoustics, Speech, and Signal Processing, 1985
• The use of a one-stage dynamic programming algorithm for connected word recognition
  IEEE Transactions on Acoustics, Speech, and Signal Processing, 1984