Soundscape design through evolutionary engines

Journal of the Brazilian Computer Society

University of Jyväskylä, Jyväskylä, FINLAND¹  Maia Jr., Adolfo¹  State University of Campinas, Campinas, BRAZIL¹  Manzolli, Jônatas¹  Fornari, José¹ 

关键词: sound synthesis;    artificial evolution;    genetic algorithms;    sonic spatialization;    acoustic descriptors.;   

DOI  :  10.1007/BF03192564

学科分类：农业科学（综合）

来源: Springer U K

【 摘 要 】

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.

【 授权许可】

Unknown