• introduction to entropy and its properties

• motivation to optimize in general and entropy-based optimization in particular

• principle of maximum entropy, maximum entropy distributions and their estimation

• application of maximum entropy framework to estimation of bigram language model probabilities. implementation issues

• applications to other areas of speech processing. summary of the talk