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COURSE UNIT TITLECOURSE UNIT CODESEMESTERTHEORY + PRACTICE (Hour)ECTS
AUTOMATIC SPEECH RECOGNITION BİL579 Program Course List-Program Course List-Program Course List-Program Course List---- 3 + 0 10

TYPE OF COURSE UNITElective Course
LEVEL OF COURSE UNITMaster's Degree Without Thesis
YEAR OF STUDY-
SEMESTERProgram Course List-Program Course List-Program Course List-Program Course List----
NUMBER OF ECTS CREDITS ALLOCATED10
NAME OF LECTURER(S)Assistant Professor Mustafa Sert
LEARNING OUTCOMES OF THE COURSE UNIT At the end of this course, the students;
1) Know automata theory and general concepts.
2) Describe finite-state transducers.
3) Describes weighted automata algorithms.
4) Know speech recognition models.
5) Apply text-to-speech methods.
6) Apply the tecniques learned in an engineering problem.
MODE OF DELIVERYFace to face
PRE-REQUISITES OF THE COURSENo
RECOMMENDED OPTIONAL PROGRAMME COMPONENTNone
COURSE CONTENTS
WEEKTOPICS
1st Week Introduction to speech recognition and introduction to the theory of automata
2nd Week Automata-theoretic foundations
3rd Week Introduction to the finite-state software tools
4th Week Rational relations
5th Week Rational relations
6th Week Transductions and weighted finite-state transducers
7th Week Weighted automata algorithms
8th Week Mid-term
9th Week Shortest-paths algorithms
10th Week Speech recognition by composition of weighted transducers
11th Week Speech recognition by composition of weighted transducers
12th Week Models in speech recognition
13th Week Large vocabulary speech recognition
14th Week Text-to-speech
RECOMENDED OR REQUIRED READING1. Rabiner, L.R., Schafer, R.W., "Digital Processing of Speech Signals" Pearson Higher Education, (2011)
2. Rabiner, L.R., Juand, B.H., "Fundamentals of Speech Recognition", Prentice Hall, (1993)
3. Jelinek, F., "Statistical Methods For Speech Recognition", MIT Press, (1998)
PLANNED LEARNING ACTIVITIES AND TEACHING METHODSLecture,Questions/Answers,Presentation,Practice,Problem Solving,Project,Report Preparation
ASSESSMENT METHODS AND CRITERIA
 QuantityPercentage(%)
Mid-term130
Assignment115
Project115
Total(%)60
Contribution of In-term Studies to Overall Grade(%)60
Contribution of Final Examination to Overall Grade(%)40
Total(%)100
LANGUAGE OF INSTRUCTIONTurkish
WORK PLACEMENT(S)No
  

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