Soundscape Design Through Evolutionary Engines

dc.creatorFornari J.
dc.creatorMaia Jr. A.
dc.creatorManzolli J.
dc.date2008
dc.date2015-06-30T19:28:59Z
dc.date2015-11-26T14:44:41Z
dc.date2015-06-30T19:28:59Z
dc.date2015-11-26T14:44:41Z
dc.date.accessioned2018-03-28T21:53:38Z
dc.date.available2018-03-28T21:53:38Z
dc.identifier
dc.identifierJournal Of The Brazilian Computer Society. , v. 14, n. 3, p. 51 - 64, 2008.
dc.identifier1046500
dc.identifier
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-55749091803&partnerID=40&md5=02dc6d27e026dfebbb88128c9b79c309
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/106416
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/106416
dc.identifier2-s2.0-55749091803
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1252225
dc.descriptionTwo 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.
dc.description14
dc.description3
dc.description51
dc.description64
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dc.languageen
dc.publisher
dc.relationJournal of the Brazilian Computer Society
dc.rightsfechado
dc.sourceScopus
dc.titleSoundscape Design Through Evolutionary Engines
dc.typeArtículos de revistas


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