• brief overview of speaker adaptation
  
  
• review an example of the problem to be solved
  
  
• introduction to Maximum Likelihood Linear Regression (MLLR)
  
  
• detailed mathematical look at MLLR
  
  
• walk-through of MLLR applied to some synthetic example data