English

Not applicable.

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

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

Not applicable.

Methods of educations are described in the article 7 of the BUT’s Study and Examination Regulation. Teaching methods include seminar. Course is taking advantage of e-learning (Moodle) system.

The maximum of 30 points is given upon completion of the theoretical tests in seminar. The maximum of 70 points can be gained by completing the final project.

1. Introduction to Machine Learning and Time-Series Analysis
2. Audio Signal Analysis Using Machine Learning Techniques
3. Music Information Retrieval
4. Audio Content Analysis
5. Acoustic Analysis of Speech and Voice Pathology
6. Restoration of Clipped Audio Signals
7. Completing Missing Samples in Audio
8. Loudspeaker-Room Response Equalisation
9. Modelling Electroacoustic Transducers
10. Real-Time Modeling of Nonlinear Audio Processing Systems
11.
12.
13.

Not applicable.

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.

The conditions for the successful course completion are stated in the yearly updated supervisor’s notice.

Not applicable.

Not applicable.

AGGARWAL, Charu C. Neural networks and deep learning: a textbook. Cham: Springer, 2018, xxiii, 497 stran. (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)
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)

Not applicable.