{"id":223081,"date":"2016-08-22T15:42:17","date_gmt":"2016-08-22T18:42:17","guid":{"rendered":"http:\/\/revistapesquisa.fapesp.br\/en\/?p=223081"},"modified":"2016-08-22T15:42:17","modified_gmt":"2016-08-22T18:42:17","slug":"virtual-birdsong","status":"publish","type":"post","link":"https:\/\/revistapesquisa.fapesp.br\/en\/virtual-birdsong\/","title":{"rendered":"Virtual birdsong"},"content":{"rendered":"

\"TecnoDaniel Bueno <\/span>Generated by an evolutionary algorithm that controls the process of simulating the songs of a virtual population of birds, computational model EvoPio<\/a> creates soundscapes composed of a never-repeating combination of bird calls.\u00a0 Developed by musician and electrical engineer Jos\u00e9 Fornari, from the Interdisciplinary Center for Sound Communications (NICS) at the University of Campinas (Unicamp), the current version of the software can generate up to 20 simultaneous songs (International Journal of Arts and Technology<\/i><\/em>, Vol. 9, No. 1, 2016).\u00a0 The system emulates the function of a bird’s syrinx (the organ equivalent of human vocal chords) and is controlled by a group of 16 parameters, a kind of computational \u201cchromosome\u201d with instructions on how to generate distinct calls.\u00a0 Each \u201cchromosome\u201d reproduces into couplets via processes equivalent to genetic recombination and mutation, generating a new virtual bird with its respective call.\u00a0 \u201cWhen that bird \u2018dies\u2019, its song ceases and the chromosome is erased from the population,\u201d explains Fornari.\u00a0 \u201cThe system uses no recorded sounds or any other form of recording.\u201d\u00a0 The newest version allows researchers to introduce new birds and songs into the system by simply posting a message on Twitter.<\/p>\n","protected":false},"excerpt":{"rendered":"Computational model creates soundscapes of a never-repeating combination","protected":false},"author":475,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":""},"categories":[168],"tags":[219,243],"coauthors":[785],"class_list":["post-223081","post","type-post","status-publish","format-standard","hentry","category-technoscience","tag-computation","tag-innovation"],"acf":[],"_links":{"self":[{"href":"https:\/\/revistapesquisa.fapesp.br\/en\/wp-json\/wp\/v2\/posts\/223081","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/revistapesquisa.fapesp.br\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/revistapesquisa.fapesp.br\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/revistapesquisa.fapesp.br\/en\/wp-json\/wp\/v2\/users\/475"}],"replies":[{"embeddable":true,"href":"https:\/\/revistapesquisa.fapesp.br\/en\/wp-json\/wp\/v2\/comments?post=223081"}],"version-history":[{"count":0,"href":"https:\/\/revistapesquisa.fapesp.br\/en\/wp-json\/wp\/v2\/posts\/223081\/revisions"}],"wp:attachment":[{"href":"https:\/\/revistapesquisa.fapesp.br\/en\/wp-json\/wp\/v2\/media?parent=223081"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/revistapesquisa.fapesp.br\/en\/wp-json\/wp\/v2\/categories?post=223081"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/revistapesquisa.fapesp.br\/en\/wp-json\/wp\/v2\/tags?post=223081"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/revistapesquisa.fapesp.br\/en\/wp-json\/wp\/v2\/coauthors?post=223081"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}