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Scheda Riassuntiva
Anno Accademico 2017/2018
Scuola Scuola di Ingegneria Industriale e dell'Informazione
Insegnamento 091032 - AUDIO AND VIDEO SIGNALS
  • 091030 - AUDIO SIGNALS
Docente Bestagini Paolo
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 (474) TELECOMMUNICATION ENGINEERING - INGEGNERIA DELLE TELECOMUNICAZIONI*AZZZZ091041 - AUDIO SIGNALS
091032 - AUDIO AND VIDEO SIGNALS
Ing Ind - Inf (Mag.)(ord. 270) - MI (487) MATHEMATICAL ENGINEERING - INGEGNERIA MATEMATICA*AZZZZ095978 - AUDIO AND VIDEO SIGNALS

Programma dettagliato e risultati di apprendimento attesi

In this course module we first present the fundamental tools for analyzing, synthesizing and processing sounds (voice, music, acoustic signals). We then show how to use such tools for developing a wide range of applications, ranging from music information retrieval to acoustic array processing.

Fundamentals

  • physiology of the hearing system and psycho-perception of sound
  • elements of acoustics
  • basic audio analysis: time-frequency analyisi with Short-Time Fourier Transform or filterbanks
  • sound processing tools: filtering, nonlinear processing, auralization filters
  • adaptive filtering: Wiener-Hopf filter, steepest descent, LMS
  • space-time (array) processing: microphone arrays, beamforming
  • feature extraction and analysis
  • overview of sound synthesis tools: modulated delay lines, tunable delay lines, digital waveguides

Applications

  • harmonic analysis: pitch tracking, vocoder, envelope tracking
  • sound modification: time warping (resampling), time and pitch scaling (tonal and rhythmic corrector)
  • modulated delay lines and sound effects for musical applications: flanger, chorus, distortions, etc.
  • sound reverberation: perceptual methods, physics-inspired methods, geometric methods (acoustic ray and beam tracing)
  • music information retrieval: feature-based analysis and classification of musical excerpts, playlist generation, mood extraction, etc.
  • adaptive sound processing and applications: echo cancellation, noise reduction, dereverberation, etc.
  • array processing: beamfornimg, acoustic source localization and extraction (demixing), acoustic room compensation

Note Sulla Modalità di valutazione

Students are required to take a written test. The resulting grade is truncated to 27/30 unless completed with a project (typically a report and/or a application developed in Matlab® or Python), which needs to be previously negotiated with and authorized by a course instructor. The final grade will be the average of the grades achieved in the written test and in the project.


Bibliografia

Software utilizzato
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Mix Forme Didattiche
Tipo Forma Didattica Ore didattiche
lezione
30.0
esercitazione
20.0
laboratorio informatico
0.0
laboratorio sperimentale
0.0
progetto
0.0
laboratorio di progetto
0.0

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. 1.7.2 / 1.7.2
Area Servizi ICT
06/07/2022