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BILL7270 | @Voice Analysis in Cyber Security | 3+0+0 | ECTS:7.5 | Year / Semester | Spring Semester | Level of Course | Third Cycle | Status | Elective | Department | DEPARTMENT of COMPUTER ENGINEERING | Prerequisites and co-requisites | None | Mode of Delivery | | Contact Hours | 14 weeks - 3 hours of lectures per week | Lecturer | Doç. Dr. Beste ÜSTÜBİOĞLU | Co-Lecturer | Dr. Öğr. Üyesi Beste ÜSTÜBİOĞLU | Language of instruction | Turkish | Professional practise ( internship ) | None | | The aim of the course: | The objective of the Cyber Security Voice Analysis course is to equip students with the knowledge and skills to identify, analyze, and mitigate security vulnerabilities in voice communications. This course will cover the threats to the security of voice communications, attack methods, and protection techniques in detail. Additionally, it will teach the techniques and tools used in voice analysis, enabling students to detect and prevent voice-based security threats in real-world scenarios. |
Programme Outcomes | CTPO | TOA | Upon successful completion of the course, the students will be able to : | | | PO - 1 : | Have knowledge in the field of speech and sound processing. | 4,6,8,9 | 1,2,3,6, | PO - 2 : | Gains knowledge in the areas of psychoacoustics, voice modifiers, speech compression, signal analysis and visualisation and stereo processing. | 3,5,8,10 | 1,2,3,6, | PO - 3 : | To be able to do literature research, to write articles, to make oral and written presentation of studies. | | 1,2,3, | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome | |
Fundamentals of Speech and Audio Processing and Matlab Applications, Speech Generation, Audio Compression-Multiplication, Audio Analysis |
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Course Syllabus | Week | Subject | Related Notes / Files | Week 1 | Computer and Sound | | Week 2 | Basic audio processing | | Week 3 | Speech Generation | | Week 4 | Amplitude and frequency models | | Week 5 | Psychoacoustic Concept | | Week 6 | Psychoacoustic Modelling | | Week 7 | Basic Features of the Human Speech | | Week 8 | Sound Analysis | | Week 9 | Midterm | | Week 10 | Sound Classification | | Week 11 | Speech Recognition | | Week 12 | Speaker Identification | | Week 13 | Language Identification | | Week 14 | Speech Synthesis | | Week 15 | Stereo Encoding | | Week 16 | Final exam | | |
1 | Speech and audio processing Matlab based approach | | |
Method of Assessment | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | Mid-term exam | 9 | | 2 saat | 30 | End-of-term exam | 16 | | 2 saat | 50 | |
Student Work Load and its Distribution | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | Yüz yüze eğitim | 3 | 42 | 126 | Sınıf dışı çalışma | 1 | 14 | 14 | Arasınav için hazırlık | 2 | 2 | 4 | Arasınav | 2 | 1 | 2 | Ödev | 2 | 30 | 60 | Proje | 1 | 14 | 14 | Kısa sınav | 1 | 14 | 14 | Dönem sonu sınavı için hazırlık | 4 | 4 | 16 | Dönem sonu sınavı | 2 | 1 | 2 | Total work load | | | 252 |
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