Spectral synthesis and control with Cellular Automata

This paper presents a new method for sound synthesis. The method consists in mapping the histograms sequence of a cellular automata evolution onto a sound spectrogram. The data obtained from the histograms are in the form of sound spectral structures evolving in time in a natural fashion. The main problem of cellular automatas is the difficulty of control due to its unpredictability property. This mapping offers significant controllability characteristics which allow flexible processes for sound and instrument design. The sounds obtained with this mapping present natural behaviour and are capable of simulate acoustic instruments and other real sounds.