Digital Audio Processing

Објавено: June 29, 2023
1. Course Title Digital Audio Processing
2. Code 4ФЕИТ05008
3. Study program 10-DPSM
4. Organizer of the study program (unit, institute, department) Faculty of Electrical Engineering and Information Technologies
5. Degree (first, second, third cycle) Second cycle
6. Academic year/semester I/1   7.    Number of ECTS credits 6.00
8. Lecturer Dr Branislav Gerazov
9. Course Prerequisites
10. Course Goals (acquired competencies):

The goal of the course program is to allow students to acquire a wide knowledge of the techniques for the analysis, synthesis and recognition of audio signals. It is designed to bring close the various approaches and applications of digital audio processing through studying the state-of-the-art.

11. Course Syllabus:

1. Fundamentals of digital audio, principles of digitisation, oversampling, jitter 2. Working with audio signals in the digital domain; quantisation, dither, noise shaping. 3. Fourier transform, Z-transform, amplitude and phase spectrum. 4. Sliding window method, short time Fourier transform (STFT), spectrograms. 5. Fundamentals of digital filters, filtering, FIR, IIR, FIR filter design. 6. LP, HP, BP, BS, and Notch filters, filterbanks, equalisation. 7. Digital audio effects in time domain: delays, echo, reverberation, AP filters, distortion, flange, chorus. 8. Digital audio effects in transform domain: tremolo, vibrato, wah-wah, phaser, robotisation, vocoding. 9. Audio compression, basics of psychoacoustics, masking, critical bands, MP3, AAC. 10. Compression of speech, basics of speech production, LP analysis; LP10, CELP, VOCODER. 11. Machine learning for audio signals, sound source recognition, sound event detection, feature extraction, MFCCs. 12. Modelling audio data, GMM, ЕМ, UBM, LLRM. 13. Musical instrument synthesis, concatenation, autoencoders.

12. Learning methods:

Combined learning: lectures with slides and visualisations and independent work on projects.

13. Total number of course hours 180
14. Distribution of course hours 3 + 3
15. Forms of teaching 15.1 Lectures-theoretical teaching 45 hours
15.2 Exercises (laboratory, practice classes), seminars, teamwork 45 hours
16. Other course activities 16.1 Projects, seminar papers 30 hours
16.2 Individual tasks 30 hours
16.3 Homework and self-learning 90 hours
17. Grading
17.1 Exams 0 points
17.2 Seminar work/project (presentation: written and oral) 50 points
17.3. Activity and participation 20 points
17.4. Final exam 30 points
18. Grading criteria (points) up to 50 points 5 (five) (F)
from 51 to 60 points 6 (six) (E)
from 61 to 70 points 7 (seven) (D)
from 71 to 80 points 8 (eight) (C)
from 81 to 90 points 9 (nine) (B)
from 91 to 100 points 10 (ten) (A)
19. Conditions for acquiring teacher’s signature and for taking final exam Attendance to lectures.
20. Forms of assessment Project assignment and final exam.
21. Language Macedonian and English
22. Method of monitoring of teaching quality Surveys, interviews and self-evaluation.
23. Literature
23.1.       Required Literature
No. Author Title Publisher Year
1. Udo Zölzer Digital Audio Signal Processing Wiley 2008
2. Andreas Spanias, Ted Painter,‎ Venkatraman Atti Audio Signal Processing and Coding Wiley-Interscience 2007
23.2.       Additional Literature
No. Author Title Publisher Year
1.  Cox, Trevor J., Li, Francis F  Digital signal processing in audio and acoustical engineering  CRC Press  2019
2.  Udo Zölzer  DAFX: Digital Audio Effects  Wiley  2011
3.  Julius O. Smith III  Spectral Audio Signal Processing  W3K Publishing  2011