Course: Digital Audio Processing
ECTS points: 6 ECTS
Number of classes per week: 3+0+0+3
Lecturer: Asst. Prof. Dr. Branislav Gerazov
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.
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, musical instrument recognition, feature extraction, MFCCs. 12. Modelling audio data, GMM, ЕМ, UBM, LLRM. 13. Musical instrument synthesis, concatenation, autoencoders.
22.1. Required Literature
|Udo Zölzer||Digital Audio Signal Processing||Wiley||2008|
|Andreas Spanias, Ted Painter, Venkatraman Atti||Audio Signal Processing and Coding||Wiley-Interscience||2007|
|Ian McLoughlin||Applied Speech and Audio Processing: With Matlab Examples||Cambridge University Press|
|Udo Zölzer||DAFX: Digital Audio Effects||Wiley||2011|
|Julius O. Smith III||Spectral Audio Signal Processing||W3K Publishing||2011|