Expert Geoffroy Peeters Objectives of this module Understand: the supervised training paradigm, the boosting paradigm, the decision tree algorithm, the AdaBoost agorithm Design an algorithm that perform the training of a model given a training dataset perform the automatic classification of a given audio track given its audio descriptors and …

Expert Geoffroy Peeters Objectives of this module Understand: Fourier Transform Periodicity estimation using the the spectral sum algorihtm Design an algorithm that estimate the fundamental frequency over time of a given audio signal Outcomes Report explaining the algorithms used to estimate the fundamental frequency from the analysis of a given …

Expert Geoffroy Peeters Objectives of this module Understand: Fourier Transform, Short-Time-Fourier Transform, filter-bank decomposition Computation of audio descriptors (spectral balance, MFCC) Design an algorithm that estimate estimate a given audio descriptor over time of a given audio signal Outcomes Report explaining the agorithms used to synthesize a sound based on …

Expert Geoffroy Peeters Objectives of this module Understand: the principle of FM synthesis the mathematical formulation of its representation using Bessel function how to control its parameters to obtain a given sound Design an algorithm that synthesize a sounds based on FM synthesis Outcomes Report explaining the agorithms used to …

Expert Geoffroy Peeters Objectives of this module Understand: Fourier Transform Filter-bank decomposition Onset detection function Periodicity estimation using the the spectral sum algorihtm Design an algorithm that estimate the tempo over time of a given audio signal Outcomes Report explaining the algorithms used to estimate the tempo from the analysis …