Wavelet Applications in Real-Time to Analysis/Resynthesis of Audio Signals with Pure Data

The aim of this work is to research the possibilities of use the discrete wavelet transform in real-time with Pure Data for analysis / resynthesis of audio signals.

With this intention I approached to a new sort of granular synthesis with Pure Data based on wavelet transform: resynthesis of an audio signal from its wavelet coefficients by means of an additive synthesis of wavelet streams (a temporal succession of "wavelets grains" for each scale or frequency level with are enveloped by an amplitude factor obtained from wavelet analysis coefficients).

Another applications by means of wavelet coefficients manipulation have been developed to study the possibilities of pitch shift, time stretch, equalization and audio randomization.