Instructor: Murat Saraçlar (http://busim.ee.boun.edu.tr/~murat)

Textbooks:

Jelinek, Statistical Methods for Speech Recognition, The MIT Press

Huang, Acero and Hon, Spoken Language Processing, Prentice Hall.

Rabiner and Juang, Fundamentals of Speech Recognition, Prentice Hall.

Prerequisites: Probability, Programming

Time and Location: WWW 568 (Yeni/Yeni/KB230)

More Information (including Homeworks and Assignments):  http://cims.ee.boun.edu.tr

• The Speech Recognition Problem
• Hidden Markov Models
• Basic Acoustic Modeling
• Basic Language Modeling
• Basic Search Techniques
• Mathematical Preliminaries
• Elementary Information Theory
• Expectation-Maximization
• Weighted Finite State Transducers
• Advanced Acoustic Modeling
• Advanced Language Modeling
• Adaptation
• Advanced Search Techniques
• State-of-the-art in ASR
• Applications of ASR

Computer Usage:

Projects requiring C or C++ programming

• Final Examination %40
• Homeworks %20
• Projects %40