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Establishment
Language of instruction
French, English
Teaching content
MB-ST
This course occurs in the following program(s)
Training officer(s)
A.PATE
Stakeholder(s)
A.PATE
Présentation
Prerequisite
- Signal and image analysis (3rd year)
- Basics of Physics
- Scientific computing (e.g. Python or Matlab)
- Basics of Physics
- Scientific computing (e.g. Python or Matlab)
Goal
Target competences: 42 (421/422), 34 (342/343), 121 (1211), 35 (351), 110 (1102), 146 (1461)
- Basics of acoustics and digital audio for students in "Augmented reality and artificial intelligence"
- Use sound to enhance the immersion in virtual environments, and increase the realism of virtual environments
- Use sound to communicate information to users
- Know and use the tools and techniques used in the field of audio
- Design and implement a virtual audio environment
- Basics of acoustics and digital audio for students in "Augmented reality and artificial intelligence"
- Use sound to enhance the immersion in virtual environments, and increase the realism of virtual environments
- Use sound to communicate information to users
- Know and use the tools and techniques used in the field of audio
- Design and implement a virtual audio environment
Presentation
- Basics of acoustics (propagation, attenuation, absorption, reflection, transmission, intensity, sound level, radiation, impulse response, reverberation)
- Basics of sound perception (pitch, loudness, masking, spatial hearing, acoustic ecology)
- Psychoacoustic descriptors (fundamental frequency, sound level, intelligibility, spectral centroid, reverberation time, ...)
- Sound spatialization techniques (binaural hearing, vector-based amplitude panning, principles of Ambisonics and Wavefield synthesis)
- Sonification techniques (auditory icons, audification, parameter-mapping)
- Sound synthesis techniques (additive, subtractive, wavetable, amplitude modulation, frequency modulation, physical models)
- Basics of electroacoustics (microphones, loudspeakers, frequency response, sensitivity, directivity)
- Sound recording techniques (hardware and software)
- Basics of sound perception (pitch, loudness, masking, spatial hearing, acoustic ecology)
- Psychoacoustic descriptors (fundamental frequency, sound level, intelligibility, spectral centroid, reverberation time, ...)
- Sound spatialization techniques (binaural hearing, vector-based amplitude panning, principles of Ambisonics and Wavefield synthesis)
- Sonification techniques (auditory icons, audification, parameter-mapping)
- Sound synthesis techniques (additive, subtractive, wavetable, amplitude modulation, frequency modulation, physical models)
- Basics of electroacoustics (microphones, loudspeakers, frequency response, sensitivity, directivity)
- Sound recording techniques (hardware and software)
Modalités
Forms of instruction
Lecture (15h) + practical (15h)
Organization
| Type | Amount of time | Comment | |
|---|---|---|---|
| Face to face | |||
| Lectures - face to face | 15,00 | ||
| Exercises | 15,00 | ||
| Independent study | |||
| Independent study | 30,00 | ||
| Overall student workload | 60,00 | ||
Evaluation
- final exam (paper or computer) : 25%
- mini-project : 75%
- mini-project : 75%
| Control type | Duration | Amount | Weighting |
|---|---|---|---|
| Others | |||
| Mini-project | 10,00 | 1 | 75,00 |
| Final Exam | |||
| Practical Exam | 3,00 | 1 | 25,00 |
| TOTAL | 100,00 | ||