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Soundscape design through evolutionary enginesDOI: 10.1007/BF03192564 Keywords: sound synthesis, artificial evolution, genetic algorithms, sonic spatialization, acoustic descriptors. Abstract: two implementations of an evolutionary sound synthesis method using the interaural time difference (itd) and psychoacoustic descriptors are presented here as a way to develop criteria for fitness evaluation. we also explore a relationship between adaptive sound evolution and three soundscape characteristics: key-sounds, key-signals and sound-marks. sonic localization field is defined using a sound attenuation factor and itd azimuth angle, respectively (ii, li). these pairs are used to build spatial sound genotypes (ssg) and they are extracted from a waveform population set. an explanation on how our model was initially written in matlab is followed by a recent pure data (pd) implementation. it also elucidates the development and use of: parametric scores, a triplet of psychoacoustic descriptors and the correspondent graphical user interface.
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