- #Github sonic visualiser code
- #Github sonic visualiser plus
Sound/music description: Extraction of audio features Describing sounds, sound collections, music recordings and music collections Clustering and classification of sounds. Sound transformations: Filtering Morphing Frequency scaling and pitch transposition Time scaling. #Github sonic visualiser plus
Sinusoidal plus residual modeling: Sinusoidal plus residual model Sinusoidal subtraction Stochastic model Sinusoidal plus stochastic model. Harmonic model: Harmonic Model Sinusoids-Partials-Harmonics F0 detection Harmonic tracking. Sinusoidal model: Sinusoidal Model Sinewave spectrum Sinusoidal detection Sinusoidal synthesis. Short-Time Fourier Transform: STFT equation Window type Window size FFT size Hop size Time-frequency compromise Inverse STFT STFT implementation. Fourier transform properties: Linearity Shift Evenness Convolution Phase unwrapping Zero padding Power & amplitude in dB Fast Fourier Transform (FFT) FFT and zero-phase. Discrete Fourier Transform: DFT equation Complex exponentials Inner product DFT of complex sinusoids DFT of real sinusoids Inverse-DFT. 
Introduction to needed math: Sinusoids, Complex numbers, Euler's identity, Complex sinusoids, Inner product of signals, Convolution.
Introduction: Introduction to audio signal processing for music applications Music applications examples. 
All the materials prepared for the class are available in Topics covered
#Github sonic visualiser code
The evaluation of the students is based on the weekly assignments (60%) and final exam (40%).Īll the labs of the course are done using Python and all the materials and code used in the class are available under open licenses (Creative Commons and GPL). The course is offered in 10 weeks, with 25 hours of lectures.
Special emphasis is given to the use of spectral processing techniques for the description and transformation of music signals. A course of the Master in Sound and Music Computing that focuses on a number of signal processing methodologies and technologies that are specific for audio and music applications.
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