{"id":1156,"date":"2023-05-01T17:16:27","date_gmt":"2023-05-01T15:16:27","guid":{"rendered":"https:\/\/reach.ircam.fr\/?p=1156"},"modified":"2024-03-23T11:41:54","modified_gmt":"2024-03-23T10:41:54","slug":"creative-computing","status":"publish","type":"post","link":"https:\/\/reach.ircam.fr\/index.php\/2023\/05\/01\/creative-computing\/","title":{"rendered":"Creative Computing"},"content":{"rendered":"\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

Teaching computers to think like a human.<\/h2>

Read original article<\/a><\/p>

This story was published in the Spring 2023 issue of\u00a0<\/em>UC San Diego Magazine.<\/p>

Walk into any jazz club and you\u2019ll be blown away by the musicians\u2019 skills and ability to riff off one another. The performances are dynamic, powerful and improvisational. The experience itself is multidimensional and uniquely human, a captivating conversation in music. But could computers, with their somewhat rigid programming, be capable of playing alongside humans in a creative exchange?<\/p>

\u201cToday, there are various machine learning applications to create art,\u201d says Shlomo Dubnov, a UC San Diego professor with appointments in the departments of music and computer science. \u201cBut the question is, can we go beyond these tools and generate a sort of joint man-and-machine creativity?\u201d<\/p>

To answer this, Dubnov is working with researchers in Europe, including\u00a0G\u00e9rard Assayag and\u00a0Marc Chemillier,\u00a0on Project REACH: Raising Co-creativity in Cyber-Human Musicianship and has already seen results. A human-computer team was able to recreate the improvisation style of the legendary Belgian jazz musician Toots Thielemans. Sifting through archived recordings, the team members used a new method of separating the musician\u2019s playing of the chromatic harmonica from the rest of the band and then used that to train the computer in Toots\u2019 unique style to generate a new improvisation.<\/p><\/div><\/div><\/div>

The next step will be to get the computer to devise its own countermelodies from multiple options and then decide when and how often to interject into the larger\u00a0group. To do this, Dubnov is developing a method to evaluate how much causal relationship exists between two improvising musicians. This would allow the machine to better tune in, listen and respond to its human musician counterpart, guiding the musical choices the computer makes.<\/p>

\u201cNot only should the human musician be interested in what the machine is doing, but the machine should also be interested in what the person is doing,\u201d says Dubnov. \u201cIt needs to be able to analyze what\u2019s happening and decide when it\u2019s going to improvise with its human partners and when it\u2019s going to improvise on its own. It needs agency and empowerment to make its own artistic choices in synergy with the human.\u201d<\/p><\/div>

\u201cToday, there are various machine learning applications to create art, but the question is, can we go beyond these tools and generate a sort of joint man-and-machine creativity?\u201d<\/blockquote>
Professor Shlomo Dubnov, UC San Diego Department of Music<\/figcaption><\/figure><\/div><\/div><\/div>

UC San Diego Computer Science Professor Taylor Berg-Kirkpatrick and graduate students Ke Chen and Vignesh Gokul are also collaborators on this project. \u201cThe research goal for human-machine improvisation is interactive AI: we give feedback to the machine, the machine can receive it and change, and vice versa,\u201d says Chen. \u201cThis enables the machine to function like an assistant rather than an independent artist.\u201d<\/p>

And while Dubnov and others continue to make advancements in artificial intelligence, these blurred lines between human and computer may expand our own creativity in areas we cannot yet imagine.<\/p><\/div><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

Teaching computers to think like a human. Read original article This story was published in the Spring 2023 issue of\u00a0UC San Diego Magazine. Walk into any jazz club and you\u2019ll be blown away by the musicians\u2019 skills and ability to riff off one another. The performances are dynamic, powerful and improvisational. The experience itself is […]<\/p>\n","protected":false},"author":2,"featured_media":1158,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[60],"tags":[],"class_list":["post-1156","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-articles"],"aioseo_notices":[],"blog_post_layout_featured_media_urls":{"thumbnail":["https:\/\/reach.ircam.fr\/wp-content\/uploads\/2024\/03\/teaser_ai_jazz-min-150x150.jpg",150,150,true],"full":["https:\/\/reach.ircam.fr\/wp-content\/uploads\/2024\/03\/teaser_ai_jazz-min.jpg",1200,628,false]},"categories_names":{"60":{"name":"Articles","link":"https:\/\/reach.ircam.fr\/index.php\/category\/press\/articles\/"}},"tags_names":[],"comments_number":"0","wpmagazine_modules_lite_featured_media_urls":{"thumbnail":["https:\/\/reach.ircam.fr\/wp-content\/uploads\/2024\/03\/teaser_ai_jazz-min-150x150.jpg",150,150,true],"cvmm-medium":["https:\/\/reach.ircam.fr\/wp-content\/uploads\/2024\/03\/teaser_ai_jazz-min-300x300.jpg",300,300,true],"cvmm-medium-plus":["https:\/\/reach.ircam.fr\/wp-content\/uploads\/2024\/03\/teaser_ai_jazz-min-305x207.jpg",305,207,true],"cvmm-portrait":["https:\/\/reach.ircam.fr\/wp-content\/uploads\/2024\/03\/teaser_ai_jazz-min-400x600.jpg",400,600,true],"cvmm-medium-square":["https:\/\/reach.ircam.fr\/wp-content\/uploads\/2024\/03\/teaser_ai_jazz-min-600x600.jpg",600,600,true],"cvmm-large":["https:\/\/reach.ircam.fr\/wp-content\/uploads\/2024\/03\/teaser_ai_jazz-min-1024x628.jpg",1024,628,true],"cvmm-small":["https:\/\/reach.ircam.fr\/wp-content\/uploads\/2024\/03\/teaser_ai_jazz-min-130x95.jpg",130,95,true],"full":["https:\/\/reach.ircam.fr\/wp-content\/uploads\/2024\/03\/teaser_ai_jazz-min.jpg",1200,628,false]},"_links":{"self":[{"href":"https:\/\/reach.ircam.fr\/index.php\/wp-json\/wp\/v2\/posts\/1156","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/reach.ircam.fr\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/reach.ircam.fr\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/reach.ircam.fr\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/reach.ircam.fr\/index.php\/wp-json\/wp\/v2\/comments?post=1156"}],"version-history":[{"count":4,"href":"https:\/\/reach.ircam.fr\/index.php\/wp-json\/wp\/v2\/posts\/1156\/revisions"}],"predecessor-version":[{"id":1161,"href":"https:\/\/reach.ircam.fr\/index.php\/wp-json\/wp\/v2\/posts\/1156\/revisions\/1161"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/reach.ircam.fr\/index.php\/wp-json\/wp\/v2\/media\/1158"}],"wp:attachment":[{"href":"https:\/\/reach.ircam.fr\/index.php\/wp-json\/wp\/v2\/media?parent=1156"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/reach.ircam.fr\/index.php\/wp-json\/wp\/v2\/categories?post=1156"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/reach.ircam.fr\/index.php\/wp-json\/wp\/v2\/tags?post=1156"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}