Course: Digital Audio Engineering

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Course title Digital Audio Engineering
Course code ITE/DAI
Organizational form of instruction Lecture + Lesson
Level of course Master
Year of study not specified
Semester Summer
Number of ECTS credits 5
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements Course does not contain work placement
Recommended optional programme components None
Lecturer(s)
  • Koldovský Zbyněk, prof. Ing. Ph.D.
Course content
Lecture topics: - Fundamentals of Music Theory I - notes, markings, tuning - Fundamentals of Music Theory II - harmony, instruments, musical styles - Repeating the basics of digital signal processing with a view to its use in audio processing - Discrete Fourier transform, short-term Fourier transform, signal spectrum, LTI systems and Z-transforms, filters and their basic types and properties, filter structures, filter design methods - Digital audio effects I - EQ, reverb, echo - Digital audio effects II - vibrato, tremolo, chorus, flanger, wah-wah, phaser - Digital audio effects III - dynamic compression and expansion, noise gate, multiband dynamic compression, side-compression - Digital Audio Effects VI - non-linear effects, vocoder, pitch-shifter, time-stretching - Single-channel speech enhancement methods - Wiener filter, binary mask, advanced methods based on DNN training - Acoustic event detection - classical detection methods, DNN training based methods - Acoustic echo cancellation - principles and methods - Reconstruction of corrupted signals, declipping, dereverberation - MP3 format, compression and decompression, psychoacoustic rules Exercises: - Work with music software (Audacity, Cubase), import and export of data for work with Matlab - Programming VST plugins and real-time audio processing - Implementation of noise reduction methods, SNR and SDR evaluation - Data collection and training of simple DNN for event detection - Rhythm and style detection - Acoustic echo cancellation in the frequency domain - Reconstruction of corrupted recordings - Examples to verify psychoacoustic rules, working with mp3 format - Measurement of acoustic impulse response - Estimating the direction of arrival of an acoustic signal

Learning activities and teaching methods
Lecture, Practicum
  • Home preparation for classes - 40 hours per semester
  • Preparation for credit - 34 hours per semester
  • Preparation for exam - 20 hours per semester
  • Class attendance - 56 hours per semester
Learning outcomes
The exercises follow the lectures. Students will learn how to work with music software, try connecting various electronic instruments to a PC. Most of the problems will be solved in the Matlab programming environment.

Prerequisites
unspecified

Assessment methods and criteria
Combined examination

Recommended literature


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester