Navigation

13M031ASM - Analysis and synthesis of muzical signals

Course specification
Course title Analysis and synthesis of muzical signals
Acronym 13M031ASM
Study programme
Module
Type of study master academic studies
Lecturer (for classes)
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
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 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
  1. Meinard Müller (auth.)-Fundamentals of Music Processing_ Audio, Analysis, Algorithms, Applications-Springer International Publishing (2015) (Original title)
  2. 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