EEE5542 Digital Audio ProcessingBahçeşehir UniversityDegree Programs ELECTRICAL AND ELECTRONICS ENGINEERINGGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
ELECTRICAL AND ELECTRONICS ENGINEERING
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
EEE5542 Digital Audio Processing Fall 3 0 3 8
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: English
Type of course: Departmental Elective
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery: Face to face
Course Coordinator : Dr. Öğr. Üyesi ZAFER İŞCAN
Recommended Optional Program Components: Not applicable
Course Objectives: The course targets presentation of the basics of auditory perception, audio signal modeling, coding, analysis and synthesis with a signal processing perspective. The students will develop a solid background on signal characteristics of acoustic signals, how to analyze them to extract information as well as the basic design principles of electronic sound signal processing devices.

Learning Outcomes

The students who have succeeded in this course;
1. Describe fundamental characteristics of sound signals
2. Describe basic operating principles of audio signal processing devices
3. Describe the properties of the human hearing
4. Describe spectral analysis methods for audio signals
5. Design audio synthesis/modification systems
6. Describe audio coding methods
7. Describe symbolic representation of musical audio signals

Course Content

Nature of sound signals. Basic principles and characteristics of music technology devices. Human auditory system.
Spectral analysis of sound signals. Parametric analysis of audio signals. Linear modeling of sound signals.
Audio synthesis coding methods. Automatic music transcription systems.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Nature of sound signals, sampling and quantization.
2) Basic principles and characteristics of microphones, loudspeakers, sound mixers, effect processors
3) Auditory masking and critical bands, pitch perception
4) Short-time Fourier Analysis of sound signals.
5) Automatic pitch and rhythm analysis in audio signals
6) Linear modeling of sound signals
7) Additive and subtractive synthesis, modulation synthesis, waveform segment (concatenative) synthesis
8) Midterm, phase vocoder theory.
9) Pitch and duration modification of sound signals, the phase vocoder.
10) Pulse code modulation(PCM), ADPCM, u-law and A-law coding
11) Sub-band analysis, mp3 coding
12) Notation systems, pitch and duration quantization in transcription systems
13) MIDI (Musical Instrument Digital Interface)
14) Review of recent developments in the area of audio signal processing

Sources

Course Notes / Textbooks: Handbook of Signal Processing in Acoustics, Editors: D. Havelock, S. Kuwano,M. Vorländer, ISBN: 978-0-387-77698-9
References: None

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Quizzes 3 % 5
Homework Assignments 3 % 10
Presentation 1 % 5
Project 1 % 15
Midterms 1 % 25
Final 1 % 40
Total % 100
PERCENTAGE OF SEMESTER WORK % 45
PERCENTAGE OF FINAL WORK % 55
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Study Hours Out of Class 10 9 90
Presentations / Seminar 1 3 3
Project 1 20 20
Homework Assignments 3 10 30
Quizzes 3 1 3
Midterms 1 3 3
Final 1 3 3
Total Workload 194

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Adequate knowledge in mathematics, science and electric-electronic engineering subjects; ability to use theoretical and applied information in these areas to model and solve engineering problems. 4
2) Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose. 5
3) Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues, according to the nature of the design.) 4
4) Ability to devise, select, and use modern techniques and tools needed for electrical-electronic engineering practice; ability to employ information technologies effectively. 4
5) Ability to design and conduct experiments, gather data, analyze and interpret results for investigating engineering problems. 3
6) Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually. 3
7) Ability to communicate effectively in English and Turkish (if he/she is a Turkish citizen), both orally and in writing. 4
8) Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself. 3
9) Awareness of professional and ethical responsibility.
10) Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development.
11) Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of engineering solutions.