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 3 0 0 3 5
Pre-requisite Course(s)
EE 306 Digital Signal Processing
Course Language English
Course Type N/A
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 Coordinator
Course Lecturer(s)
  • Asst. Prof. Dr. İ. Baran Uslu
Course Assistants
Course Objectives To become familiar with the speech signal and its applications.
Course Learning Outcomes The students who succeeded in this course;
  • Describe properties of speech signal
  • Describe short-term and long-term analysis concepts
  • Discuss methods for voiced/ unvoiced classification and pitch period estimation
  • Discuss various signal processing techniques for speech coding including LPC, MELP, CELP
  • Use various tools (or simulators) for speech processing applications such as speech synthesis and recognition, speech enhancement, speaker verification
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


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 Accumulated knowledge on mathematics, science and mechatronics engineering; an ability to apply the theoretical and applied knowledge of mathematics, science and mechatronics engineering to model and analyze mechatronics engineering problems.
2 An ability to differentiate, identify, formulate, and solve complex engineering problems; an ability to select and implement proper analysis, modeling and implementation techniques for the identified engineering problems.
3 An ability to design a complex system, product, component or process to meet the requirements under realistic constraints and conditions; an ability to apply contemporary design methodologies; an ability to implement effective engineering creativity techniques in mechatronics engineering. (Realistic constraints and conditions may include economics, environment, sustainability, producibility, ethics, human health, social and political problems.)
4 An ability to develop, select and use modern techniques, skills and tools for application of mechatronics engineering and robot technologies; an ability to use information and communications technologies effectively.
5 An ability to design experiments, perform experiments, collect and analyze data and assess the results for investigated problems on mechatronics engineering and robot technologies.
6 An ability to work effectively on single disciplinary and multi-disciplinary teams; an ability for individual work; ability to communicate and collaborate/cooperate effectively with other disciplines and scientific/engineering domains or working areas, ability to work with other disciplines.
7 An ability to express creative and original concepts and ideas effectively in Turkish and English language, oral and written.
8 An ability to reach information on different subjects required by the wide spectrum of applications of mechatronics engineering, criticize, assess and improve the knowledge-base; consciousness on the necessity of improvement and sustainability as a result of life-long learning; monitoring the developments on science and technology; awareness on entrepreneurship, innovative and sustainable development and ability for continuous renovation.
9 Be conscious on professional and ethical responsibility, competency on improving professional consciousness and contributing to the improvement of profession itself.
10 A knowledge on the applications at business life such as project management, risk management and change management and competency on planning, managing and leadership activities on the development of capabilities of workers who are under his/her responsibility working around a project.
11 Knowledge about the global, societal and individual effects of mechatronics engineering applications on the human health, environment and security and cultural values and problems of the era; consciousness on these issues; awareness of legal results of engineering solutions.
12 Competency on defining, analyzing and surveying databases and other sources, proposing solutions based on research work and scientific results and communicate and publish numerical and conceptual solutions.
13 Consciousness on the environment and social responsibility, competencies on observation, improvement and modify and implementation of projects for the society and social relations and be an individual within the society in such a way that planing, improving or changing the norms with a criticism.
14 A competency on developing strategy, policy and application plans on the mechatronics engineering and evaluating the results in the context of qualitative processes.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Special Course Internship
Field Work
Study Hours Out of Class 14 3 42
Presentation/Seminar Prepration 1 6 6
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