DIGITAL AUDIO SIGNAL PROCESSING

Course objectives

GENERAL Knowledge of the fundamental theoretical elements of Digital Audio Signal Processing (DASP): i) fundamentals of acoustics; ii) fundamentals of lumped and distributed circuit theory for acoustic modeling; iii) fundamentals of psychoacoustics; iv) confined environment acoustics; v) fundamental concepts design audio signal processing batch and real-time algorithms; vi) Artificial intelligence methods oriented to the audio signal. SPECIFICS • Knowledge and understanding skills: to know the fundamentals of DASP, with particular regard to the definition of algorithms for the analysis and synthesis of audio signals. • Applying knowledge and understanding: knowing how to apply DASP techniques and procedures in the most common problems described in the course such as: filtering of audio signals, computational analysis of complex acoustic scenarios, methods of analysis and synthesis of audio signals. • Autonomy of judgement: regarding the possible optimal solution of DASP problems. • Communication skills: knowing how to describe the solutions adopted to solve DASP problems. • Learning skills: autonomous learning on specialized texts; ability to continue possible subsequent studies, e.g. PhD, on advanced DASP issues.

Channel 1
AURELIO UNCINI Lecturers' profile

Program - Frequency - Exams

Course program
1 Foundations of Acoustics (6CFU) - Vibrating Systems. . Simple Harmonic Motion. Damped Harmonic Oscillator. Sinusoidal Steady-state Response and Impedance. Helmholtz Resonator. Analogy with Electrical Circuits. Nonlinear Oscillating Systems. Nonlinear Oscillating Systems. Continuous Vibrating Systems. Strings Vibration and Musical Scales. Sound Waves in the Air. pherical and Cylindrical Waves Propagation. Kirchhoff-Helmholtz Integral. Sound Measure. Weighting curves. Sound Field. Acoustic Transducers: the Microphone and Its Directional Characteristics; The Loudspeakers: Operating Principle and Model; 2 The Listener’s Model (4CFU)- The Human Organ of Hearing. Principles of Psychoacoustics. Positional 2D Models. Positional Models for 3D Audio: the Head Related Transfer Functions, representations of HRIR and HRTF. HRTF Measurement. Approximate 3D Positional Models: the Brown-Duda Positional Model. Pinna’s Elevation Effects. 3 The Listening Environment Model (5CFU) - Acoustic Room Model. Measurement of the Room Impulse Response. Reverb Macroscopic Indices. Acoustics Room Correction. Geometrical Acoustic Models. Quality Indexes of a Listening Room. 4 Digital Filters for Audio Applications (4CFU) – Review of Digital Filters. Analog and Digital Audio Filters. IIR Digital. Robust IIR Audio Filters. Fast Frequency Domain Filtering for Audio Applications. Multirate Audio Processing. Filter Bank for Audio Applications 5 Special Transfer Functions for DASP (5CFU) - Comb Filters. Special Rational Orthonormal Filter Architecture. Circular Buffer Delay-Lines. Fractional Delay-Lines. Digital Oscillator 6 Circuits and Algorithms for Acoustic Physical Modeling (5CFU) - Local and Global Approach. Structural, Functional and Interconnected Models. Local Approach with Circuit Model.Wave Digital Filters. Digital Waveguide Theory. Finite differences modeling. Nonlinear WDF and DW Models. Mixed Modeling Methods 7 Adaptive Audio Processing (6CFU) - Adaptation with Stochastic and Approximate Stocastic Optimization. First Order Adaptive Algorithm. Second-Order Adaptive Filtering. Frequency Domain Adaptive Filtering. Direct MIMO Acoustic Modeling. Inverse MIMO Acoustic Modeling. 8 Digital Audio Effects (4CFU) - - Room Acoustic Simulation. Schroeder’s Artificial Reverberator. The Quality of Artificial Reverberation. Reverb Model with Feedback Delay. Acoustic Modeling with Digital Waveguides Networks. Dynamic Range Control of Audio Signal. Effects Based Time-Variants Fractional-Delay Lines. Effects Based on Time-Frequency Transformations. 9 Discrete Space-Time Filtering (6CFU) – Microphone and Loudspeakers Array Processing Applications. Array Processing Model and Notation. Noise Field Characteristics and Quality Indices. Conventional Beamforming Statistical Optimal Data Dependent Beamforming. Adaptive Beamforming with Sidelobe Canceller. Direction of Arrival and Time Delay Estimation Coincident Microphone Array Processing. 10 3D Audio (5CFU) - Acoustic field reconstruction with arrays of speakers. Microphone imaging for 2D and 3D audio systems. Wavefront synthesis. Binaural 3D audio. 11 Sound synthesis (5CFU) Synthesis from recorded sound. Spectral representation of signal. Abstract Algorithms. Physical modeling. 12 New trends in audio signal processing (5CFU) - Audio on the Internet. Artificial Intelligence models in audio.
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.
Books
Aurelio Uncini, “Audio Digitale”, McGraw-Hill, ISBN: 88 386 6317-3, 2006. Aurelio Uncini, "Audio and Acoustic Signal Processing Fundamentals," Ed- 2021. Other material and articles provided by the Lecturer.
Teaching mode
The course is carried out in a traditional way. During the course, under the supervision of the teacher, seminars are held by external "testimonials" coming from the world of industrial production in the audio sector and from the television, film and entertainment sectors.
Frequency
Attendance at the course is not mandatory.
Exam mode
To pass the exam it is sufficient a grade 18/30. The student shall show a sufficieny knowledge of all the arguments described in the program; moreover, he shall be able to solve problems concerning with such arguments. To report a cum laude grade, the student shall show an excellent knowledge of all the arguments described in the program; morevoer, he shall be able to connect several arguments in a logical and coherent fashion. Oral examination: 6 points Home-works: 24 points
Bibliography
Udo Zölzer, "Digital Audio Signal Processing 2nd Edition", Wiley, ISBN: 978-0-470-99785-7, 2008. "DAFX - Digital Audio Effects 2nd Edition", Edited by Udo Zölzer, ISBN: 978-0-470-66599-2 ,John Wiley & Sons, 2011. A. Uncini, "Fundamentals of Adaptive Signal Processing", Springer, ISBN 978-3-319-02807-1, 2015.
Lesson mode
The course is carried out in a traditional way. During the course, under the supervision of the teacher, seminars are held by external "testimonials" coming from the world of industrial production in the audio sector and from the television, film and entertainment sectors.
  • Lesson code10596629
  • Academic year2025/2026
  • CourseTelecommunication Engineering
  • CurriculumIngegneria delle Comunicazioni (percorso valido anche ai fini del rilascio del doppio titolo italo-francese o italo-statunitense )
  • Year2nd year
  • Semester1st semester
  • SSDING-IND/31
  • CFU6