Soundscape design through evolutionary engines

• Autor(a) principal: Fornari,José
• Data de Publicação: 2008
• Outros Autores: Maia Jr.,Adolfo, Manzolli,Jônatas
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Journal of the Brazilian Computer Society
• Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-65002008000300005
• topic: sound synthesis; artificial evolution; genetic algorithms; sonic spatialization; acoustic descriptors

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.