Course Name: Speech Recognition Course Number: Instructor: Hossein Sameti Department of Computer Engineering Room 706 Phone:

Syllabus Review 1: Speech Production and Hearing Review 2: Phonetics Chapter 1: Principles of Speech Recognition Chapter 2: Artificial Neural Networks and Filter Banks Chapter 3: Linear Predictive Coding Chapter 4: Vector Quantization and EIH Chapter 5: Pattern Comparison Techniques Chapter 6: Dynamic Time Warping Chapter 7: Hidden Markov Models for Speech Recognition Chapter 8: Connected Word Recognition Chapter 9: Large Vocabulary Continuous Speech Recognition 2

3 Speech Recognition: Marking Scheme:  Homeworks:20%  Projects : 15%  Quizzes:10%  Midterm: 25%  Final Exam: 30%

Speech Recognition Text Books: Fundamentals of Speech Recognition  Rabiner and Juang, Prentice Hall, 1993 Automatic Speech Recognition, A Deep Learning Approach  Dong Yu, Li Deng, Springer-Verlag, 2015 Spoken language processing  Huang, Acero, Hon, Prentice Hall, 2001 password for the sources: 40833spring94 4