LECTURE 11: TEMPORAL ANALYSIS

• Objectives:
  
  
  • Understand the relationship between sums and filters
    
    
  • Understand the relationship between temporal resolution and frequency resolution
    
    
  • Introduce common window functions
    
    
  • Explain their use in speech processing
    
    
  • Understand how we compute our first recognition feature: energy

One of the best explanations of this material can be found in:

L.R. Rabiner and R.W. Schafer, Digital Processing of Speech Signals, Prentice-Hall, Upper Saddle River, New Jersey, USA, ISBN: 0-13-213603-1, 1978.

This textbook is unfortunately out of print. Another excellent reference is:

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