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Time-frequency analysis and spatialized sound

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  • Lecturer: Sylvain ARGENTIERI (sylvain.argentieri@sorbonne-universite.fr)
  • Course code: UM4RBI23-Son
  • Student workload: 12h of lectures, 6h of tutorials, 10h of labs
  • Credits: 3 ECTS
  • Specialization tracks:
  • Semester offered: S1 S2 S3 S4
  • Language of instruction: French English
  • Targeted audience: Eng. Sc. department Other :
  • Localization : PMC Campus Other :

Course Overview

This course aims to train students in the analysis and processing, in terms of time and frequency, of a spatialized audio signal captured from antenna or binaural devices. The teaching then focuses on the analysis and synthesis of a 3D sound field.

Mots-clés : Signal processing, spatialized audio signal, time-frequency analysis, acoustic propagation; source localization: beamforming, high-resolution methods, binaural perception; spherical harmonics, Wave Field Synthesis (WFS), Ambisonics.

Prerequisites

Students should have previously acquired the following prerequisites to follow this course:

  • Analog signal processing: convolution, series, and continuous-time Fourier transform;
  • Discrete signal processing: Discrete Fourier Transform, Discrete Fourier Transform, correlation;
  • Basic concepts in linear algebra.

Intended Learning Outcomes

By the end of this course, students will be able to:

  1. Understanding and modeling the propagation of a source in an ideal environment.
  2. Identify the characteristics of a spatialized audio signal in the time and frequency domains.
  3. Modeling acoustic information measurement from a device consisting of one or more microphones.
  4. Analyzing multichannel signals to estimate the position of one or more sound sources in space.
  5. Modeling the acoustic effect of a head on a binaural recording system.
  6. Knowing how to decompose an acoustic field into spherical harmonics.
  7. Analyze and synthesize a sound field.
  8. Implement a multi-channel capture system.
  9. Program algorithms for locating, analyzing, and synthesizing a sound field

Indicative Teaching Sequence and Methods

Week C/TD/TP* Content Preparation Learn.\ outc.
S1 C1 Fundamentals of acoustics: propagation with or without a source   AAV1-2
S2 C2 Sound source localization: modeling and application to beamforming   AAV2-3
S3 TD1 Acoustics: Green's functions, plane/spherical waves   AAV1
S4 C3 Sound source localization: high-resolution methods (MUSIC, DUET/ESPRIT)   AAV3-4
S5 TP1 (4h) Characterization of acoustic propagation   AAV1-2
S6 C4 Localization of sound sources: binaural perception (HRTF, spatialization)   AAV3-5
S7 TD2 Sound source localization: TDOA estimation using generalized correlation   AAV3-4
S8 C5 Spherical harmonic decomposition   AAV6
S9 TP2 (3h) Experimental implementation of a localization method   AAV8-9
S10 C6 Sound field analysis and synthesis (WFS, Ambisonics, modal beamforming)   AAV7
S11 TD3 Multiple-choice questions + Time/frequency/space analysis   AAV7
S12 TP3 (3h) Measurement and analysis of spatialized impulse responses   AAV8-9
  • C/TD/TP respectively corresponds to lectures, tutorials and lab sessions.

Sequence of the unit

The unitis divided into three sequences:

  • Sequence 1: Fundamentals of acoustics = C1+TD1+TP1

  • Sequence 2: Spatialized sound; application to source localization (C3/4/5 + TD2 + TP2)

  • Sequence 3: Spatialized sounds, time-frequency-space analysis-synthesis (C5/6 + TD3 + TP3)

Indicative Assessment of Intended Learning Outcomes (1st session)

Week Individ./group In-person/remote Type of exam Evaluated outcomes Scale %
S11 Individual In-person Quiz AAV 1 à 5 15%
S13 Individual In-person Written AAV 1 à 7 50%
S13 Individual In-person Labs AAV 8-9 35%

2nde session

Session Individ./group In-person/remote Type of exam Evaluated outcomes Scale %
2 Individual In-person Written 65%
1 Individual In-person Labs AAV 8-9 35%

Bibliographic references

  • Bruneau, M. (2013). Fundamentals of acoustics. John Wiley & Sons.
  • Hartmann, 1996, "signal, sound and sensation", Springer-Verlag
  • Imai & Abe, "Spectral Envelope Extraction by Improved Cepstral Method"
  • Van Trees, Harry L. (2002). Optimum Array Processing: Part IV of Detection, Estimation, and Modulation Theory. Wiley.
  • Rafaely, B. (2019), Fundamentals of Spherical Array Processing. Springer

Logo SDI Date of generation of this unit description: 14/01/2026 Logo SDI