Electrical and Electronics Engineering
Course Details
KTO KARATAY UNIVERSITY
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Electrical and Electronics Engineering
Course Details
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Electrical and Electronics Engineering
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 05161604 | Digital Music and Audio Production | 3 | Spring | 6 | 3+0+0 | 5 | 5 |
| Course Type | Elective |
| Course Cycle | Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6) |
| Course Language | Turkish |
| Methods and Techniques | - |
| Mode of Delivery | Face to Face |
| Prerequisites | - |
| Coordinator | Assoc. Prof. Hulusi AÇIKGÖZ |
| Instructor(s) | - |
| Instructor Assistant(s) | - |
Course Content
Basic Digital Signal Processing concepts, Human hearing mechanism, Speech and sound perception, Modeling of sound signals, Short-term analysis of speech, Time environment analysis, Short-run Fourier analysis, Improvement of music and sound signals, Noise decomposition, Music and Sound signaling, Linear predictive analysis of speech signals, Estimation of speech parameters, Pitch frequency and Formant estimation, Mel-scale Kepstrum coefficients calculation, Voice Recognition Methods, Vector Quantization Algorithm, Automatic Speech Recognition, Hidden Markov Models, Voice coding and compression methods
Objectives of the Course
The aim of this course is to enable students to develop applications in this field by informing the students about speech, sound and music signs.
Contribution of the Course to Field Teaching
| Basic Vocational Courses | |
| Specialization / Field Courses | |
| Support Courses | |
| Transferable Skills Courses | |
| Humanities, Communication and Management Skills Courses |
Weekly Detailed Course Contents
| Week | Topics |
|---|---|
| 1 | Introduction to Digital Speech, Voice and Music Processing |
| 2 | Review of digital signal processing concepts |
| 3 | Human hearing mechanism, music and sound perception |
| 4 | Modeling of sound signals, Short term analysis of speech |
| 5 | Time environment analysis, Short-run Fourier analysis |
| 6 | Improvement of speech and sound signals, Noise decomposition |
| 7 | Feature extraction from speech and audio signals |
| 8 | Midterm Exam |
| 9 | Estimation of speech parameters, Pitch frequency and Formant estimation |
| 10 | Calculation of Mel-Scale Cepstrum coefficients |
| 11 | Voice Recognition Methods, Vector Quantization Algorithm |
| 12 | Automatic Speech recognition, Hidden Markov Models |
| 13 | Audio coding and compression methods |
| 14 | Final Exam |
Textbook or Material
| Resources | L.R. Rabiner and R.W. Shafer, Theory and Applications of Digital Speech Processing,, Prentice Hall., 2010 . |
| L.R. Rabiner and R.W. Shafer, Theory and Applications of Digital Speech Processing,, Prentice Hall., 2010 . |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Attendance | - | - |
| Laboratory | - | - |
| Practice | - | - |
| Homework | - | - |
| Presentation | - | - |
| Projects | - | - |
| Quiz | - | - |
| Listening | - | - |
| Midterms | - | - |
| Final Exam | - | - |
| Total | 0 (%) | |
ECTS / Working Load Table
| Quantity | Duration | Total Work Load | |
|---|---|---|---|
| Course Week Number and Time | 0 | 0 | 0 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 0 | 0 | 0 |
| Midterms | 0 | 0 | 0 |
| Quiz | 0 | 0 | 0 |
| Homework | 0 | 0 | 0 |
| Practice | 0 | 0 | 0 |
| Laboratory | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Workshop | 0 | 0 | 0 |
| Presentation/Seminar Preparation | 0 | 0 | 0 |
| Fieldwork | 0 | 0 | 0 |
| Final Exam | 0 | 0 | 0 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 0 | ||
| Total Work Load / 30 | 0 | ||
| Course ECTS Credits: | 0 | ||