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M2_ATIAM Musical Signal Processing

Université Pierre et Marie Curie

Docent
  • Bertrand David
Type
Lecture
Term
winter semester
Subject type
Optional
Study path
Master of Engineering / Master of Information Technology
Specialisation/branch
Eng-AC / Info-SAR - Acoustics, Signal Analysis and Information Technology Applied to Music (ATIAM)
Keywords
to make master II students acquainted with the fundamentals of the analysis-processing-synthesis techniques: Short Time Fourier Transform (STFT) and spectrogram. Perfect reconstruction conditions. Filter-bank and sliding-window Fourier transform interpretations. Time-frequency resolution trade-off (Heisenberg uncertainty principle). Extension to TFD filter-banks and wavelets (introduction). Equivalence between time warping and frequency warping. Temporal methods (OLA, PSOLA,…) for temporal and spectral modifications. - Additive synthesis based on a slowly time-varying sinusoidal+noise model. Automatic analysis chain including partial trajectory extraction. Noise modelling. Strategies and algorithms for sound computation whether based on partial trajectories. - Source-filter model for sound synthesis. Model typology; source and filter structures. Related sound analysis techniques. Classical analysis/processing/synthesis scheme based on the three aforementioned sound models. Related temporal and spectral sound processing techniques: time stretching, transposition, equalizer, noise extraction or reduction, cross-synthesis, sound morphing, - Lab sessions for practical and experimental study.
Total ECTS credit
3.0
Examination
written exam with documents
Language
Webpage
http://www.atiam.ircam.fr/
Last modified
May 2, 2022, 10:15 p.m.