• Course code:63523
  • Credits:6
  • Semester: winter
  • Contents
  • Introduction and overview of the field.

•           Basics of sound and computer based production:

o          physics (amplitude, frequency, phase, speed, interference, resonan-ce, power, other wave phenomena);

o          mathematics (Fourier theory, sampling theory, convolution, corre-lation, Hilbert transform, Gabor’s acoustic quant and transfrom, etc.);

o          physiology and psychoacoustics (aural perception, frequency range, indirect perception by various anatomical structures, the role of harmonics, localization, masking, critical bands, environment-tal effects, latest neuroscience research results in this domain).

•           Electronic and network principles of sound processing: analog and digital signal, (quantization) noise, medium / device bandwidth, amplification and attenuation, analog to digital, and digital to analog conversion, distortion, filtering, types of microphones, signals capturing processes.

•           Sound generators: synthesizers (additive synthesis, subtractive and frequency modulation synthesis…), samplers.

•           Computer based recording: capturing of coded sound (sequencers), capturing of sampled sounds (with direct-to-disc recording).

•           Standard studio components: mixing consoles, limiters, compressors, reverbs, noise reducers, pitch correction tools, equalizers.

•           Protocols and algorithms in computer-based production: MIDI, IEC-60958 (AES / EBU), S/PDIF, AC-3, E-AC-3.

•           Synchronization mechanisms: MTC, SMPTE, video, computer games and movies integration.

•           Programming standards:  interfaces (VST / Steinberg, DirectX / MS), formats (wav, MP3, Ogg), sampled sounds (SoundFont).

•           Contemporary sound reproduction (network streaming technology, protocols RTP, RTCP, RTSP), advanced 2D and 3D production (systems 5.1, 7.1, Dolby Atmos).

•           Professional tools and their application (Steinberg-Yamaha, Twelve Tone Systems – Roland - BandLab, open-source solutions).

•           Latest trends – artificial intelligence and machine learning in sound production (concrete applications of ML in computer sound production).

Addendum: Mini practical tasks covering the latest technological issues or specific issues not covered at laboratory works.

  • Study programmes
  • Distribution of hours per semester
45
hours
lectures
30
hours
laboratory work
  • Professor
Instructor
Room:R3.68 - Kabinet
Teaching Assistant
Room:R3.50 - Laboratorij LEM