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Risorse bibliografiche
Risorsa bibliografica obbligatoria
Risorsa bibliografica facoltativa
Scheda Riassuntiva
Anno Accademico 2019/2020
Scuola Scuola di Ingegneria Industriale e dell'Informazione
Insegnamento 052820 - SOUND ANALYSIS, SYNTHESIS AND PROCESSING
  • 052819 - SOUND ANALYSIS, SYNTHESIS AND PROCESSING MODULE 2: SOUND SYNTHESIS AND SPATIAL PROCESSING
Docente Sarti Augusto
Cfu 5.00 Tipo insegnamento Modulo Di Corso Strutturato

Corso di Studi Codice Piano di Studio preventivamente approvato Da (compreso) A (escluso) Insegnamento
Ing Ind - Inf (Mag.)(ord. 270) - MI (263) MUSIC AND ACOUSTIC ENGINEERING*AZZZZ054273 - SOUND ANALYSIS, SYNTHESIS AND PROCESSING MODULE 2: SOUND SYNTHESIS AND SPATIAL PROCESSING
052820 - SOUND ANALYSIS, SYNTHESIS AND PROCESSING
Ing Ind - Inf (Mag.)(ord. 270) - MI (474) TELECOMMUNICATION ENGINEERING - INGEGNERIA DELLE TELECOMUNICAZIONI*AZZZZ088967 - SOUND ANALYSIS, SYNTHESIS AND PROCESSING
Ing Ind - Inf (Mag.)(ord. 270) - MI (481) COMPUTER SCIENCE AND ENGINEERING - INGEGNERIA INFORMATICA*AZZZZ088967 - SOUND ANALYSIS, SYNTHESIS AND PROCESSING

Obiettivi dell'insegnamento

This module is part of a course that offers a comprehensive collection of fundamentals tools for for audio and acoustic signal analysis and processing, as well as synthesis and rendering. This module focuses on tools for audio and acoustic signal synthesis and rendering.

A wide range of applications will be covered, including musical sound synthesis, sound effects, sound reverberation, 3D audio capturing and rendering, etc.


Risultati di apprendimento attesi

The student will acquire the fundamental tools of audio and acoustic signal processing and will acquire the ability to use such tools for applications of audio and acoustic signal analysis, synthesis, processing, improvement and restoration.


Argomenti trattati

Part 2 - Sound synthesis and spatial processing

 

In this second part we introduce techniques for sound synthesis and spatialization/reverberation; and for a high-end rendering of audio signals. Using numerical methods and signal processing tools, we discuss traditional techniques for musical sound synthesis such as wavetable, additive, subtractive, granular and nonlinear synthesis techniques; more advanced sound synthesis solutions such as modal synthesis and sound synthesis through physical modelling with particular reference to finite elements, digital waveguide networks, wave digital filters, etc. 

We also introduce techniques for digital audio enhancement/improvement such as sound effects, reverberation and spatialization. Finally, we discuss advanced sound rendering techniques based on multi-channel processing and spatial (array) processing such as ambisonics, acoustic beamforming/projection and wavefield synthesis.

  • Sound synthesis: additive and subtractive synthesis, granular synthesis, wavetable synthesis, nonlinear distortion (ring modulation, phase/frequency modulation), fractal synthesis.
  • Physical sound modelling for timbral synthesis: modal synthesis and functional transformation method, finite elements, Cordis-Anima, digital waveguides, wave digital structures, object-based modelling.
  • High-end sound effects and sound processing: modulated digital delay lines, sound effects, reverberation and spatialization algorithms (DSP solutions, geometric methods, physical modelling methods, perceptual techniques), binauralization, head-related transfer function, multi-channel processing, ambisonics.  
  • Space-time processing and array processing: uniform and non-uniform speaker arrays, beamforming and acoustic projection, polar emission shaping, wavefield synthesis.

Prerequisiti

In order to best approach this course, the student should have a reasonable grasp of linear algebra; Fourier analysis and signal decomposition; signal theory; probability theory; and the basics of circuit theory.


Modalità di valutazione

The student is required to do a written test, whose grade can be integrated with a project. If the student decides not to do the project for a course module, the written test grade will be clipped to 27/30, otherwise the "unclipped" grade will be averaged with the project grade.
The project must be preliminarily negotiated with a course instructor and can be either a software application or a research paper. Projects can be done in collaboration with other students.


Bibliografia
Risorsa bibliografica facoltativaMark Kahrs, Karlheinz Brandenburg, Applications of Digital Signal Processing to Audio and Acoustics, Editore: SpringerVerlag, Anno edizione: 1998, ISBN: 9781475783865

Forme didattiche
Tipo Forma Didattica Ore di attività svolte in aula
(hh:mm)
Ore di studio autonome
(hh:mm)
Lezione
30:00
45:00
Esercitazione
20:00
30:00
Laboratorio Informatico
0:00
0:00
Laboratorio Sperimentale
0:00
0:00
Laboratorio Di Progetto
0:00
0:00
Totale 50:00 75:00

Informazioni in lingua inglese a supporto dell'internazionalizzazione
Insegnamento erogato in lingua Inglese
Disponibilità di materiale didattico/slides in lingua inglese
Disponibilità di libri di testo/bibliografia in lingua inglese
Possibilità di sostenere l'esame in lingua inglese
Disponibilità di supporto didattico in lingua inglese
schedaincarico v. 1.6.4 / 1.6.4
Area Servizi ICT
10/07/2020