LECTURE 42: NEURAL NETWORKS

• Objectives:
  
  
  • Comparison to HMM States (Neurons)
    
    
  • Nonlinearities
    
    
  • Multi-layer Perceptron
    
    
  • Recurrent Networks

This lecture uses material from:

J. Deller, et. al., Discrete-Time Processing of Speech Signals, MacMillan Publishing Co., ISBN: 0-7803-5386-2, 2000.

and the course textbook:

X. Huang, A. Acero, and H.W. Hon, Spoken Language Processing - A Guide to Theory, Algorithm, and System Development, Prentice Hall, Upper Saddle River, New Jersey, USA, ISBN: 0-13-022616-5, 2001.