Information Package / Course Catalogue
| Course Code | : MTK639 |
| Course Type | : Area Elective |
| Couse Group | : Third Cycle (Doctorate Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 3 |
| Prt. | : 0 |
| Credit | : 3 |
| Lab | : 0 |
| ECTS | : 8 |
In this course, the subjects of Speech Recognition and Synthesis will be taught and the applications about the course will be developed. Firstly, speech production and acoustic modeling will be presented. Then, The methods of Speech Recognition and Synthesis will be explained.
Acoustic Theory of Speech Production, Human hearing, acoustics, and phonetics. Signal Representation, Vector Quantization. Speech spectrum analysis (Fourier analysis, cepstral analysis, spectrogram reading). Fundamental frequency analysis (F0 estimation, prosody models). Speech synthesis. Linear Prediction (all-pole model, LPC, PARCOR, LSP analysis). Learning algorithms and application (Viterbi algorithm, Bayes’ Theorem). Speech coding (waveform coding, PCM, LPC). Dynamic time warping and acoustic modeling. Hidden Markov Modeling, expectation-maximization, and search. Language Modeling. Graphical Models. Segment-Based ASR, Finite State Transducers.
| 1. | Ability to understand the concepts of Speech Recognition and Synthesis |
| 2. | Ability to use the methods of Speech Recognition and Synthesis |
| 3. | Ability to develop the applications about Speech Recognition and Synthesis |
| 4. | To be able to gain the skill of interpreting some interrelations among these concepts |
| 5. | To be able to use mathematical concepts in solving certain types of problems |
| 1. | Fundamentals of Speech Recognition, Rabiner and Juang, Prentice-Hall, 1993 |
| 2. | An Introduction to Text-to-Speech Synthesis, Thierry Dutoit, Kluwer Academic Publishers, Dordrecht Hardbound, ISBN 0-7923-4498-7, 1997 |
| Type of Assessment | Count | Percent |
|---|---|---|
| Assignment | 1 | %5 |
| Term Assignment | 1 | %5 |
| Midterm Examination | 1 | %20 |
| Final Examination | 1 | %70 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 0 | 3 | 42 |
| Assignment | 1 | 0 | 6 | 6 |
| Term Project | 1 | 0 | 6 | 6 |
| Individual Work | 14 | 0 | 5 | 70 |
| Midterm Examination | 1 | 30 | 2 | 32 |
| Final Examination | 1 | 42 | 2 | 44 |
| TOTAL WORKLOAD (hours) | 200 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | PÇ-10 | PÇ-11 | PÇ-12 | PÇ-13 | PÇ-14 | PÇ-15 | |
OÇ-1 | 4 | 3 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 2 | 2 | ||||
OÇ-2 | 4 | 5 | 4 | 5 | 4 | 5 | 3 | 4 | 4 | 4 | 3 | 2 | 3 | ||
OÇ-3 | 4 | 5 | 5 | 5 | 5 | 5 | 4 | 4 | 5 | 4 | 4 | 4 | |||
OÇ-4 | 4 | 5 | 5 | 5 | 5 | 5 | 4 | 4 | 5 | 4 | 3 | 3 | |||
OÇ-5 | 4 | 5 | 5 | 4 | 5 | 5 | 4 | 4 | 5 | 4 | 3 | 3 | 4 | ||