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)
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
ESPB 6.0 Status elective
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
URL to the subject page
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.
  1. Julius O. Smith: „Physical audio signal processing for virtual musical instruments and audio effects“ (Original title)
  2. 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