Course detail

Audio Engineering Seminar

FEKT-MPA-AESAcad. year: 2023/2024

The course includes topics from advanced methods of analysis and processing of audio signals for applications in acoustics, electroacoustics, musicology, music production, multimedia technologies and virtual reality. These include the use of artificial intelligence, information mining from musical works, sparse signal representations, real-time modeling of analogue and digital sound systems and mechanical and acoustic systems, and modern approaches to sound analysis and synthesis.

Language of instruction


Number of ECTS credits


Mode of study

Not applicable.

Entry knowledge

Students must have basic knowledge from the area of audio signal processing and audio technology at Masters level.

Rules for evaluation and completion of the course

It is obligatory to attend all seminars and pass the control test for each seminar to a minimum extent. Other forms of checked instruction are specified by a regulation issued by the guarantor of the course and updated for every academic year. 


The aim of the course is to give students an overview of current topics and trends in the field of audio engineering. Students will learn advanced techniques of analysis and processing of audio signals and musical works, including the use of artificial intelligence, modern trends in the area of acoustics solutions, modeling and design of electroacoustic transducers, theoretical and experimental psychoacoustics, virtual reality and other areas. Theoretical knowledge is demonstrated in the course on practical examples and case studies.
On completing the seminar, students will be able to:
- practice knowledge of modern trends in audio technology development
- assess the possibilities of using advanced audio technologies to solve practical problems
- take advantage of advanced audio technology knowledge in product development
- analyze the impact of advanced sound technologies on the development of audio systems

Study aids

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

AGGARWAL, Charu C. Neural networks and deep learning: a textbook. Cham: Springer, 2018, xxiii, 497 stran. (EN)
SMITH, Julius O. (Julius Orion). Physical Audio Signal Processing: for Virtual Musical Instruments and Digital Audio Effects. Lexington]: W3K Publishing, 2010, xxii, 803 s. ISBN 978-0-9745607-2-4. (EN)
BAI, Mingxian, Jeong-Guon IH a Jacob BENESTY. Acoustic array systems: Theory, implementation, and application. Singapore: Wiley, 2013, xix, 516 s. : il. ISBN 978-0-470-82723-9. (EN)
PULKKI, Ville, Matti KARJALAINEN. Communication acoustics: an introduction to speech, audio and psychoacoustics. Chichester, West Sussex, United Kingdom: Wiley, 2015, 430 stran. ISBN 978-1-118-86654-2 (EN)

Recommended reading

Not applicable.


Classification of course in study plans

  • Programme MPC-AUD Master's

    specialization AUDM-TECH , any year of study, summer semester, compulsory-optional
    specialization AUDM-ZVUK , any year of study, summer semester, compulsory-optional

Type of course unit



26 hours, compulsory

Teacher / Lecturer