ECTS - Speech Processing and Its Applications
Speech Processing and Its Applications (EE519) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Speech Processing and Its Applications | EE519 | Area Elective | 3 | 0 | 0 | 3 | 5 |
| Pre-requisite Course(s) |
|---|
| N/A |
| Course Language | English |
|---|---|
| Course Type | Elective Courses |
| Course Level | Natural & Applied Sciences Master's Degree |
| Mode of Delivery | Face To Face |
| Learning and Teaching Strategies | Lecture, Demonstration, Drill and Practice, Project Design/Management. |
| Course Lecturer(s) |
|
| Course Objectives | To become familiar with the speech signal and its applications. |
| Course Learning Outcomes |
The students who succeeded in this course;
|
| Course Content | Features of the speech signal; time-domain and frequency-domain analysis techniques; speech coding fundamentals; speech processing applications, speech recognition, speech synthesis, speaker verification. |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | Speech signal properties | Read your lectrue notes |
| 2 | Speech signal properties | Read from the supplementary sources |
| 3 | Speech signal analysis methods | Study the lecture notes and complete the simulations |
| 4 | Voiced/ unvoiced classification and pitch period estimation | Review your lecture notes |
| 5 | Voiced/ unvoiced classification and pitch period estimation | Review your lecture notes |
| 6 | Speech signal production model | Study the lecture notes |
| 7 | Midterm examination | |
| 8 | Speech coding methods | Review your notes |
| 9 | Speech coding methods | |
| 10 | Introducing research topics (Applications of speech processing) | Consult the resources |
| 11 | Examining the given paper and submitting its summary | Do your homework |
| 12 | Presentation of research study-1 | Prepare your presentation |
| 13 | Presentation of research study-2 | Prepare your presentation |
| 14 | Review of the topics | |
| 15 | Final examination period | Review the topics |
| 16 | Final examination period | Review the topics |
Sources
| Other Sources | 1. Theory and Applications of Digital Speech Processing, L. R. Rabiner and R. W. Schafer, Prentice-Hall Inc., 2011. |
|---|---|
| 2. Discrete-Time Speech Signal Processing: Principles and Practice, Thomas F. Quatieri, Pearson Education, 2002 | |
| 3. Speech Coding and Synthesis, W.B. Kleijn (Editor), K.K. Paliwal (Editor), Elsevier, 1995. |
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | - | - |
| Laboratory | - | - |
| Application | - | - |
| Field Work | - | - |
| Special Course Internship | - | - |
| Quizzes/Studio Critics | - | - |
| Homework Assignments | 5 | 35 |
| Presentation | - | - |
| Project | - | - |
| Report | - | - |
| Seminar | - | - |
| Midterms Exams/Midterms Jury | 1 | 25 |
| Final Exam/Final Jury | 1 | 40 |
| Toplam | 7 | 100 |
| Percentage of Semester Work | 60 |
|---|---|
| Percentage of Final Work | 40 |
| Total | 100 |
Course Category
| Core Courses | X |
|---|---|
| Major Area Courses | |
| Supportive Courses | |
| Media and Managment Skills Courses | |
| Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
| # | Program Qualifications / Competencies | Level of Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | An ability to apply knowledge of mathematics, science, and engineering. | X | ||||
| 2 | An ability to design and conduct experiments, as well as to analyse and interpret data. | X | ||||
| 3 | An ability to design a system, component, or process to meet desired needs. | X | ||||
| 4 | An ability to function on multi-disciplinary domains. | |||||
| 5 | An ability to identify, formulate, and solve engineering problems. | X | ||||
| 6 | An understanding of professional and ethical responsibility. | X | ||||
| 7 | An ability to communicate effectively. | |||||
| 8 | Recognition of the need for, and an ability to engage in life-long learning. | X | ||||
| 9 | A knowledge of contemporary issues. | X | ||||
| 10 | An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice. | X | ||||
| 11 | Skills in project management and recognition of international standards and methodologies | X | ||||
| 12 | An ability to produce engineering products or prototypes that solve real-life problems. | X | ||||
| 13 | Skills that contribute to professional knowledge. | X | ||||
| 14 | An ability to make methodological scientific research. | X | ||||
| 15 | An ability to produce, report and present an original or known scientific body of knowledge. | X | ||||
| 16 | An ability to defend an originally produced idea. | |||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
| Laboratory | |||
| Application | |||
| Special Course Internship | |||
| Field Work | |||
| Study Hours Out of Class | 14 | 3 | 42 |
| Presentation/Seminar Prepration | 1 | 6 | 6 |
| Project | |||
| Report | |||
| Homework Assignments | 5 | 4 | 20 |
| Quizzes/Studio Critics | |||
| Prepration of Midterm Exams/Midterm Jury | |||
| Prepration of Final Exams/Final Jury | 1 | 6 | 6 |
| Total Workload | 122 | ||