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
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
URL to the subject page		http://telit.etf.rs/kurs/analiza-i-sinteza-muzickih-signala-2/
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		Realization of the system for the analysis and synthesis of musical signals based on the sine, harmonic and statistical model. Realization of sound synthesizer using various sensors for sound control. Realizing the system for audio content analysis.
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)
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	30
Practical lessons		50	Oral examination	0
Projects
Colloquia		0
Seminars		20