{"id":117,"date":"2021-01-18T20:00:57","date_gmt":"2021-01-18T20:00:57","guid":{"rendered":"https:\/\/blogs.mathworks.com\/startups\/?p=117"},"modified":"2021-01-19T00:22:02","modified_gmt":"2021-01-19T00:22:02","slug":"startup-shorts-yobe-is-tracking-the-dna-of-sound-with-matlab","status":"publish","type":"post","link":"https:\/\/blogs.mathworks.com\/startups\/2021\/01\/18\/startup-shorts-yobe-is-tracking-the-dna-of-sound-with-matlab\/","title":{"rendered":"Startup Shorts \u2013 Yobe is Tracking the DNA of Sound with MATLAB"},"content":{"rendered":"<p>Reflect on a moment at a holiday gathering or networking event. With multiple people talking and some music humming in the background, do you ever wonder how it is possible to tune that all out and focus on a private conversation? According to the American Academy of Audiology, this is due to \u201cthe cocktail party effect\u201d; a phenomenon described as the \u201cability to focus one\u2019s attention on a particular stimulus while filtering out a range of other stimuli.\u201d<\/p>\n<p>Now think about a listening device that you\u2019re trying to command with your voice during the gathering. Likewise, they need to recognize and capture your voice in order to play the song you\u2019ve requested.<\/p>\n<p>The startup company, <a href=\"http:\/\/yobe-inc.com\/\">Yobe<\/a>, has created a patented approach for such applications. Using a combination of signal processing, advanced artificial intelligence, and broadcast studio techniques, they can identify unique voice biometrics and track individuals even within noisy environments. The team discusses why they chose MATLAB to support their development in this month\u2019s feature video.<\/p>\n<p>&nbsp;<\/p>\n<p><div class=\"row\"><div class=\"col-xs-12 containing-block\"><div class=\"bc-outer-container add_margin_20\"><videoplayer><div class=\"video-js-container\"><video data-video-id=\"6082760037001\" data-video-category=\"blog\" data-autostart=\"false\" data-account=\"62009828001\" data-omniture-account=\"mathwgbl\" data-player=\"rJ9XCz2Sx\" data-embed=\"default\" id=\"mathworks-brightcove-player\" class=\"video-js\" controls><\/video><script src=\"\/\/players.brightcove.net\/62009828001\/rJ9XCz2Sx_default\/index.min.js\"><\/script><script>if (typeof(playerLoaded) === 'undefined') {var playerLoaded = false;}(function isVideojsDefined() {if (typeof(videojs) !== 'undefined') {videojs(\"mathworks-brightcove-player\").on('loadedmetadata', function() {playerLoaded = true;});} else {setTimeout(isVideojsDefined, 10);}})();<\/script><\/div><\/videoplayer><\/div><\/div><\/div><\/p>\n","protected":false},"excerpt":{"rendered":"<div class=\"overview-image\"><img src=\"https:\/\/blogs.mathworks.com\/startups\/files\/2021\/01\/yobe-13.jpg\" class=\"img-responsive attachment-post-thumbnail size-post-thumbnail wp-post-image\" alt=\"\" decoding=\"async\" loading=\"lazy\" \/><\/div>\n<p>Reflect on a moment at a holiday gathering or networking event. With multiple people talking and some music humming in the background, do you ever wonder how it is possible to tune that all out and&#8230; <a class=\"read-more\" href=\"https:\/\/blogs.mathworks.com\/startups\/2021\/01\/18\/startup-shorts-yobe-is-tracking-the-dna-of-sound-with-matlab\/\">read more >><\/a><\/p>\n","protected":false},"author":173,"featured_media":119,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[6],"tags":[],"_links":{"self":[{"href":"https:\/\/blogs.mathworks.com\/startups\/wp-json\/wp\/v2\/posts\/117"}],"collection":[{"href":"https:\/\/blogs.mathworks.com\/startups\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.mathworks.com\/startups\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.mathworks.com\/startups\/wp-json\/wp\/v2\/users\/173"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.mathworks.com\/startups\/wp-json\/wp\/v2\/comments?post=117"}],"version-history":[{"count":2,"href":"https:\/\/blogs.mathworks.com\/startups\/wp-json\/wp\/v2\/posts\/117\/revisions"}],"predecessor-version":[{"id":123,"href":"https:\/\/blogs.mathworks.com\/startups\/wp-json\/wp\/v2\/posts\/117\/revisions\/123"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blogs.mathworks.com\/startups\/wp-json\/wp\/v2\/media\/119"}],"wp:attachment":[{"href":"https:\/\/blogs.mathworks.com\/startups\/wp-json\/wp\/v2\/media?parent=117"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.mathworks.com\/startups\/wp-json\/wp\/v2\/categories?post=117"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.mathworks.com\/startups\/wp-json\/wp\/v2\/tags?post=117"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}