13M031ASM - Analysis and synthesis of muzical signals

Course specification
Course title		Analysis and synthesis of muzical signals
Acronym		13M031ASM
Study programme		Electrical Engineering and Computing
Module		Applied Mathematics, Audio and Video Communications, Audio and Video Technologies, Biomedical and Environmental Engineering, Biomedical and Nuclear Engineering, Computer Engineering and Informatics, Electronics, Electronics and Digital Systems, Energy Efficiency, Information and Communication Technologies, Microwave Engineering, Nanoelectronics and Photonics, Power Systems - Networks and Systems, Power Systems - Renewable Energy Sources, Power Systems - Substations and Power Equipment, Signals and Systems, Software Engineering, System Engineering and Radio Communications
Type of study		master academic studies
Lecturer (for classes)		professor PhD Dragana Šumarac Pavlović
Lecturer/Associate (for practice)		asst. professor PhD Miloš Bjelić
Lecturer/Associate (for OTC)		asst. professor PhD Miloš Bjelić MA Tatjana Miljković, electrical and computer engineer MA Marija Ratković, electrical and computer engineer
ESPB		6.0	Status	elective
Condition
The goal		The objective of this course is to familiarize students with the characteristics and physical mechanisms of music signals generation by natural sound sources, as well as with modern ways of generating and controlling music signals. Within the course, the models for analysis and synthesis of musical signals and algorithms for their processing are defined.
The outcome		The student needs to understand the specific nature of musical signals and their perception and to realize simple systems of analysis and synthesis of musical signals, whether they come from a natural or virtual domain..
Contents
Contents of lectures		Physical mechanisms of musical signals generation. Principles of musical signal modelling. Analysis and synthesis of musical signals based on the sine, harmonic and stochastic model. Morphing. Algorithms for artificial reverberation. Features extraction. Audio content analysis. MIDI interface. Chromatogram. Contemporary principles of generating music signals in a discrete domain.
Contents of exercises		As part of the practical classes, students record various instruments and, by applying the theoretical concepts covered in the lectures, carry out practical assignments that accompany the course.
Literature
Meinard Müller (auth.)-Fundamentals of Music Processing_ Audio, Analysis, Algorithms, Applications-Springer International Publishing (2015) (Original title) Alexander Lerch , An Introduction to Audio Content Analysis , IEEE PRESS (Original title) "Serra, X. A System for Sound Analysis/Transformation/Synthesis based on a Deterministic plus Stochastic Decomposition, PhD Thesis, Stanford University " (Original title)
Number of hours per week during the semester/trimester/year
Lectures	Exercises	OTC	Study and Research	Other classes
3	1	1
Methods of teaching		Practical project work, lectures
Knowledge score (maximum points 100)
Pre obligations		Points	Final exam	Points
Activites during lectures		0	Test paper	50
Practical lessons		0	Oral examination	0
Projects		0
Colloquia		0
Seminars		50