2102874 |
Speech Processing |
Course Instructor |
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Grading | |
Exam#1 40% + Exam#2 40% + Assignment or Project 20 % |
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Course Syllabus |
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Week | Details | Note |
1 |
Introduction |
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2 |
Lecture 1 : Review of basic requirements |
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3 |
Lecture 2 : Speech Modeling |
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4 |
Lecture 3 :Speech Analysis and Synthesis |
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5 |
Lecture 4 : Speech Coding |
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6 |
No class (CU Graduation Day) |
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7 |
Lecture 5 : Noise Reduction Techniques |
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8 | Presentation by students on their Projects/Assignments | |
9 | Examination # 1 (Part I) | |
10 | Lecture 6 : Time Frequency Representation and Input Processing | |
11 |
Lecture 7 : Introduction to Speech Recognition |
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12-13 |
Lecture 8 : Theory and Implementation of Hidden Markov Models |
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14 |
Lecture 9 : Language Modeling and Large Vocabulary Continuous Speech Recognition |
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15 | Presentation by students on their Projects | |
16 | Examination # 2 (Part II) |
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Handouts | |
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Related Books | |
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