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Motivation
The introduction of
modern technologies, starting with recording, transduction and amplification
techniques, to the most recent digital synthesis and encoding techniques,
and internet, has had an extraordinary impact on the ways in which vocal and
musical messages are created, transmitted and enjoyed.
Simultaneously,
computer simulation techniques of acoustic phenomena, and increasing
knowledge of the characteristics of the human auditory system, contribute to
a better understanding of the fundamental factors that determine the
perception of sounds and the acoustic signal in general.
The main objective of
the course DASP, is to present the basic elements for studying the
perceptual patterns of the listener, the listening environment; circuits and
algorithms for capturing, processing, synthesizing, and reproducing
high-quality audio signals.
The course is taught in English
Required prerequisites
There are no
particular prerequisites other than the basic topics of mathematics,
calculus, and algebra, typical of the two years of engineering and other
scientific faculties.
Course objectives and
skills acquired by the student
Study of specific methods for capturing, processing,
synthesis, of multichannel audio signals in all possible application
scenarios.
Final exam modalities
The exam consists of a discussion of an
assigned project (home-work or “tesina”) (max 24pt) and some theoretical
questions (max 6pt).
The home-work
is assigned to the student at the course end (during the year, when required),
and typically the student can choose the project from a list of possible
topics.
The project
can also be done by a group of maximum 3 students. In this case the task of
each individual student must be well specified.
The final discussion of the project is done at the teacher's office (or
remotely with g-meet/zoom) by appointment at any period of the year. For
the final exam the student must:
1) present a report (in the form of a short
scientific paper) on the project carried out;
2) give a short presentation (using slides,
demos, etc.) in which the results and the acquired skills are highlighted.
COURSE SYLLABUS
PART I – ACOUSTIC (15 CFU)
1 Foundations of Acoustics
2 The Listener’s Model
3 The Listening Environment Model
PART II - BASIC DIGITAL AUDIO PROCESSING (20 CFU)
4 Digital Filters for Audio, Filter Bank, Wavelet, Special Transfer Functions for DASP
5 Digital Audio Effects
6 Sound synthesis
PART III - ADAPTIVE and 3D AUDIO (15 CFU)
7 Adaptive Audio Processing
8 Discrete Space-Time Adaptive Filtering
9 3D Audio
PART IV – NEW TREND in Audio (10 CFU)
10 Audio Networks and Audio on Internet
11 AI for Audio and Speech Scenarios
TEXT BOOKS
A.Uncini,
Digital Audio Signal Processing Fundamentals-
Springer - IN PRESS 2023
A.Uncini,
Acoustic Signal Processing - Springer -
IN PRESS 2023
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