{"id":10130,"date":"2013-05-10T23:16:21","date_gmt":"2013-05-11T04:16:21","guid":{"rendered":"http:\/\/bucktownbell.com\/?p=10130"},"modified":"2013-05-10T23:16:21","modified_gmt":"2013-05-11T04:16:21","slug":"realtime-gpu-audio","status":"publish","type":"post","link":"http:\/\/bucktownbell.com\/?p=10130","title":{"rendered":"Realtime GPU Audio"},"content":{"rendered":"<blockquote><p>While these techniques are widely used and understood, they work primarily with a model of the abstract sound produced by an instrument or object, not a model of the instrument or object itself. A more recent approach is physical modeling- based audio synthesis, where the audio waveforms are generated using detailed numerical simulation of physical objects or instruments.<\/p><\/blockquote>\n<p>via <a href=\"http:\/\/queue.acm.org\/detail.cfm?id=2484010\">Realtime GPU Audio &#8211; ACM Queue<\/a>.<\/p>\n<blockquote><p>There are various approaches to physical modeling sound synthesis. One such approach, studied extensively by Stefan Bilbao,<sup>1<\/sup> uses the <i>finite difference approximation<\/i> to simulate the vibrations of plates and membranes. The finite difference simulation produces realistic and dynamic sounds (examples can be found at <a href=\"http:\/\/unixlab.sfsu.edu\/%7Ewhsu\/FDGPU\">http:\/\/unixlab.sfsu.edu\/~whsu\/FDGPU<\/a>). Realtime finite difference-based simulations of large models are typically too computationally-intensive to run on CPUs. In our work, we have implemented finite difference simulations in realtime on GPUs.<\/p><\/blockquote>\n","protected":false},"excerpt":{"rendered":"<p>While these techniques are widely used and understood, they work primarily with a model of the abstract sound produced by an instrument or object, not a model of the instrument or object itself. A more recent approach is physical modeling- &hellip; <a href=\"http:\/\/bucktownbell.com\/?p=10130\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[17],"tags":[114,685,332,1136],"class_list":["post-10130","post","type-post","status-publish","format-standard","hentry","category-technical","tag-computer-architecture","tag-gpu","tag-parallel-processing","tag-realtime"],"_links":{"self":[{"href":"http:\/\/bucktownbell.com\/index.php?rest_route=\/wp\/v2\/posts\/10130","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/bucktownbell.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/bucktownbell.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/bucktownbell.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"http:\/\/bucktownbell.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=10130"}],"version-history":[{"count":0,"href":"http:\/\/bucktownbell.com\/index.php?rest_route=\/wp\/v2\/posts\/10130\/revisions"}],"wp:attachment":[{"href":"http:\/\/bucktownbell.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=10130"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/bucktownbell.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=10130"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/bucktownbell.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=10130"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}