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		Audio and Video 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		Getting to know the characteristics and physical mechanisms of generating music signals as well as modern ways of generating and controlling music signals. Models for the analysis and synthesis of musical signals and algorithms for their processing are defined. Audio effects, artificial reverberation, extraction of different search tags and recognition of essential attributes of music signals.
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		Principles of musical signal modelling. Analysis and synthesis of musical signals based on the sine, harmonic and stochastic model. Morfing. Algorithms for artificial reverberation. Extraction of features and their hierarchy. 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
Julius O. Smith: „Physical audio signal processing for virtual musical instruments and audio effects“ http://www.dsprelated.com/dspbooks/pasp/ (Original title) Alexander Lerch , An Introduction to Audio Content Analysis , IEEE PRESS
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	40
Practical lessons		30	Oral examination	0
Projects		30
Colloquia		0
Seminars		0