1. The basic factors of human speech communication. The main properties of automatic speech recognition systems.
2. Digital Signal Processing for speech signals.
3. The classic model of human speech production.
4. The main properties of human hearing.
5. Feature extraction methods for speech recognition.
6. Dynamic time warping.
7. Hidden Markov Models - the mathematics.
8. Hidden Markov Models - application to speech recognition.
9. Hidden Markov Models - sophisticated techniques for the recognition of continuous speech.
10. Neural networks in speech recognition.
11. The main issues of statistical natural language processing.
12. The main statistical properties of natural languages.
////////12. Morphological modeling and part-of-speech tagging. - DISCARDED
13. Measuring the complexity and quality of stochastic language models.
14. N-gram language models.
15. P-CFG and treebank-based language modeling methods.