{"id":11084,"date":"2022-06-30T15:13:54","date_gmt":"2022-06-30T15:13:54","guid":{"rendered":"http:\/\/unit-21.com\/?p=11084"},"modified":"2022-07-02T12:06:51","modified_gmt":"2022-07-02T12:06:51","slug":"rolandas-markevicius","status":"publish","type":"post","link":"https:\/\/unit-21.com\/?p=11084","title":{"rendered":"Rolandas Markevicius"},"content":{"rendered":"\n<p>Cross-Modal Compositions | Isle of Portland, UK | Unit 21 | 2022<\/p>\n\n\n\n<p class=\"has-text-color\" style=\"color:#ffb800\"><em>Awarded the Fitzroy Robinson Drawing Prize<\/em><\/p>\n\n\n\n<p>rolandas.markevicius.20@ucl.ac.uk<\/p>\n\n\n\n<p>The developments in deep neural networks force us to reconsider the role of references. The project frames this statement through the challenge of establishing synaesthetic links between architecture and music suggesting that the new instruments offered by machine learning allow designers to play with abstract features systematically. The project proposes a practical implementation of a Pix2pix general adversarial network creating common maps between architectural drawings and audio spectrograms shaping methodologies for formalising relationships between any sets of data.<\/p>\n\n\n\n<p>Personalised software and data augmentation methodologies are developed throughout the project to assist in the goal of designing a music school in Portland UK.<\/p>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div style=\"padding:56.25% 0 0 0;position:relative;\"><iframe src=\"https:\/\/player.vimeo.com\/video\/724178113?h=ff8f42b420&amp;badge=0&amp;autopause=0&amp;player_id=0&amp;app_id=58479\" frameborder=\"0\" allow=\"autoplay; fullscreen; picture-in-picture\" allowfullscreen=\"\" style=\"position:absolute;top:0;left:0;width:100%;height:100%;\" title=\"ROLANDAS MARKEVICIUS - Interface Overview\"><\/iframe><\/div><script src=\"https:\/\/player.vimeo.com\/api\/player.js\"><\/script>\n\n\n\n<div class=\"wp-container-2 wp-block-columns\">\n<div class=\"wp-container-1 wp-block-column\">\n<p><br><strong>Interface overview<\/strong><\/p>\n\n\n\n<p>The interface is developed to improve productivity for neural network-based image translation and editing, enabling bidirectional translations from auditory and spatial modalities.<\/p>\n<\/div>\n<\/div>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div style=\"padding:100% 0 0 0;position:relative;\"><iframe src=\"https:\/\/player.vimeo.com\/video\/724178423?autoplay=1&amp;loop=1&amp;autopause=0&amp;background=1&amp;color=ffffff&amp;controls=0&amp;portrait=0\" frameborder=\"0\" allow=\"autoplay; fullscreen; picture-in-picture\" allowfullscreen=\"\" style=\"position:absolute;top:0;left:0;width:100%;height:100%;\"><\/iframe><\/div>\n<script src=\"https:\/\/player.vimeo.com\/api\/player.js\"><\/script>\n\n\n\n<p><br><strong>Self-Organising-Maps<\/strong><\/p>\n\n\n\n<p>SOMs have been used as one of the key techniques in organising unrelated datasets. The mapping for spectrograms and sections is represented through u-matrixes, classification distributions and image distributions.<\/p>\n\n\n\n<div style=\"height:59px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div style=\"padding:100% 0 0 0;position:relative;\"><iframe src=\"https:\/\/player.vimeo.com\/video\/724178431?h=80a0beceed&amp;autoplay=1&amp;loop=1&amp;autopause=0&amp;background=1&amp;color=ffffff&amp;controls=0&amp;portrait=0\" frameborder=\"0\" allow=\"autoplay; fullscreen; picture-in-picture\" allowfullscreen=\"\" style=\"position:absolute;top:0;left:0;width:100%;height:100%;\"><\/iframe><\/div>\n<script src=\"https:\/\/player.vimeo.com\/api\/player.js\"><\/script>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div style=\"padding:56.25% 0 0 0;position:relative;\"><iframe src=\"https:\/\/player.vimeo.com\/video\/724178158?h=61b57a725c&amp;badge=0&amp;autopause=0&amp;player_id=0&amp;app_id=58479\" frameborder=\"0\" allow=\"autoplay; fullscreen; picture-in-picture\" allowfullscreen=\"\" style=\"position:absolute;top:0;left:0;width:100%;height:100%;\" title=\"ROLANDAS MARKEVICIUS - Interface Overview\"><\/iframe><\/div><script src=\"https:\/\/player.vimeo.com\/api\/player.js\"><\/script>\n\n\n\n<p><br><strong>Cross-modal composition<\/strong><\/p>\n\n\n\n<p>A musical walk is curated by iteratively adjusting architectural outputs with consideration for the musical composition. Audio is generated through general adversarial networks sequentially composing the architecture.<\/p>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div style=\"padding:56.25% 0 0 0;position:relative;\"><iframe src=\"https:\/\/player.vimeo.com\/video\/724178128?h=ff8f42b420&amp;badge=0&amp;autopause=0&amp;player_id=0&amp;app_id=58479\" frameborder=\"0\" allow=\"autoplay; fullscreen; picture-in-picture\" allowfullscreen=\"\" style=\"position:absolute;top:0;left:0;width:100%;height:100%;\" title=\"ROLANDAS MARKEVICIUS - Interface Overview\"><\/iframe><\/div><script src=\"https:\/\/player.vimeo.com\/api\/player.js\"><\/script>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Cross-Modal Compositions | Isle of Portland, UK | Unit 21 | 2022 Awarded the Fitzroy Robinson Drawing Prize rolandas.markevicius.20@ucl.ac.uk The developments in deep neural networks force us to reconsider the role of references. The project frames this statement through the challenge of establishing synaesthetic links between architecture and music suggesting that the new instruments offered by machine learning allow designers to play with abstract features systematically. The project proposes a<\/p>\n<div class=\"read-more\"><a class=\"btn read-more-btn\" href=\"https:\/\/unit-21.com\/?p=11084\">Read More<\/a><\/div>\n","protected":false},"author":7,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[682,704,277,690,7],"tags":[87,261,628,643],"_links":{"self":[{"href":"https:\/\/unit-21.com\/index.php?rest_route=\/wp\/v2\/posts\/11084"}],"collection":[{"href":"https:\/\/unit-21.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/unit-21.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/unit-21.com\/index.php?rest_route=\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/unit-21.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=11084"}],"version-history":[{"count":13,"href":"https:\/\/unit-21.com\/index.php?rest_route=\/wp\/v2\/posts\/11084\/revisions"}],"predecessor-version":[{"id":11712,"href":"https:\/\/unit-21.com\/index.php?rest_route=\/wp\/v2\/posts\/11084\/revisions\/11712"}],"wp:attachment":[{"href":"https:\/\/unit-21.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=11084"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/unit-21.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=11084"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/unit-21.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=11084"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}