{"id":10670,"date":"2023-08-17T02:37:37","date_gmt":"2023-08-17T02:37:37","guid":{"rendered":"https:\/\/nft.runfyers.com\/index.php\/2023\/08\/17\/ai-reads-minds-to-recreate-music\/"},"modified":"2023-08-17T02:37:37","modified_gmt":"2023-08-17T02:37:37","slug":"ai-reads-minds-to-recreate-music","status":"publish","type":"post","link":"https:\/\/nft.runfyers.com\/index.php\/2023\/08\/17\/ai-reads-minds-to-recreate-music\/","title":{"rendered":"AI Reads Minds to Recreate Music!"},"content":{"rendered":"<p><\/p>\n<div>\n<p>The future of AI music is about to get a whole lot better.\u00a0Imagine being able to recreate a song simply by thinking about it! Thanks to <a href=\"https:\/\/nftevening.com\/make-beautiful-nfts-in-minutes-with-these-ai-art-generators\/\" target=\"_blank\" rel=\"noopener\">artificial intelligence<\/a>, this futuristic concept is becoming a reality. Scientists have achieved a groundbreaking feat by using AI to replicate music based on brain activity patterns, ushering in a new era of understanding the human mind\u2019s interaction with music.<\/p>\n<p><strong>TL;DR:<\/strong><\/p>\n<ul>\n<li><span data-preserver-spaces=\"true\">AI is being used to recreate music based on brain activity patterns, allowing songs to be replicated just by thinking about them.<\/span><\/li>\n<li><span data-preserver-spaces=\"true\">Researchers at the University of California used AI to generate recognizable audio of Pink Floyd\u2019s \u201cAnother Brick in the Wall, Part 1\u201d by analyzing brain signals from epilepsy patients.<\/span><\/li>\n<li><span data-preserver-spaces=\"true\">Trained AI models can generate audio representations of thought-based music, offering potential applications in aiding paralyzed patients\u2019 speech or capturing the melodic attributes of natural speech. This advancement holds promise for decoding thoughts and music interactions.<\/span><\/li>\n<\/ul>\n<p><noscript><img loading=\"lazy\" decoding=\"async\" fetchpriority=\"high\" class=\"aligncenter size-full wp-image-124359\" src=\"https:\/\/nftevening.com\/wp-content\/uploads\/2023\/08\/Screen-Shot-2023-08-17-at-12.36.07-pm.png\" alt=\"image of a brain scan to read AI music\" width=\"949\" height=\"586\" srcset=\"https:\/\/nftevening.com\/wp-content\/uploads\/2023\/08\/Screen-Shot-2023-08-17-at-12.36.07-pm.png 949w,   https:\/\/nftevening.com\/wp-content\/uploads\/2023\/08\/Screen-Shot-2023-08-17-at-12.36.07-pm-300x185.png 300w,   https:\/\/nftevening.com\/wp-content\/uploads\/2023\/08\/Screen-Shot-2023-08-17-at-12.36.07-pm-768x474.png 768w,   https:\/\/nftevening.com\/wp-content\/uploads\/2023\/08\/Screen-Shot-2023-08-17-at-12.36.07-pm-91x56.png 91w,   https:\/\/nftevening.com\/wp-content\/uploads\/2023\/08\/Screen-Shot-2023-08-17-at-12.36.07-pm-150x93.png 150w,   https:\/\/nftevening.com\/wp-content\/uploads\/2023\/08\/Screen-Shot-2023-08-17-at-12.36.07-pm-450x278.png 450w\" sizes=\"(max-width: 949px) 100vw, 949px\"\/><\/noscript><\/p>\n<p>\u00a0<\/p>\n<h2><span id=\"AI-Generated_Music_Using_Brain_Data\">AI-Generated Music Using Brain Data<\/span><\/h2>\n<p>In a recent study published in <a href=\"https:\/\/journals.plos.org\/plosbiology\/\" target=\"_blank\" rel=\"noopener\">PLOS Biology<\/a>, researchers from the University of California at Berkeley successfully used AI to recreate recognizable audio of Pink Floyd\u2019s iconic song \u201cAnother Brick in the Wall, Part 1\u201d by analyzing brain activity. The research involved monitoring electrical signals directly from the brains of epilepsy patients undergoing seizure treatment. Then, as these patients listened to the song, electrodes on their brain\u2019s surface captured auditory processing regions\u2019 activity.<\/p>\n<p>The recorded brain data was then fed into machine learning algorithms. These algorithms deciphered patterns in the brain\u2019s auditory cortex responses to musical components like pitch, tempo, vocals, and instruments. So, the AI models learned to associate specific neural activity with corresponding acoustic features. To put it simply. \u2013 electrodes recorded brain data when listening to a song. Next, the data was fed into machine learning algorithms. Following this, the AI models associated the brain data (neural activity) with musical aspects.<\/p>\n<p>Now, the trained AI models can generate new \u2018spectrographic\u2019 representations from brain data alone. These representations can then be turned into waveforms and then audio. The audio, while not perfect, clearly resembles the song a person is thinking of. In this study, the audio\u00a0bore a clear resemblance to \u201cAnother Brick in the Wall, Part 1.\u201d<\/p>\n<h2><span id=\"The_Future_of_AI\">The Future of AI<\/span><\/h2>\n<p>So, what does this all mean? Well, this achievement marks a significant advancement in decoding complex musical stimuli based solely on brain processing. If confirmed through further research, it could revolutionize thought decoding, which has previously been limited to individual words or letters.<\/p>\n<p>Dr. Robert Knight, a UC Berkeley neuroscientist and the study\u2019s senior author, explained that the chosen Pink Floyd song\u2019s intricate instrumentation served as a suitable test case. However, this approach holds potential for any genre of music and even capturing the melodic attributes of natural speech.<\/p>\n<p>Moreover, the researchers envision applications beyond music recreation. This technology could eventually aid severely paralyzed patients or stroke victims in regaining speech abilities through thought. Brain-computer interfaces are already in progress to decode text from noninvasive brain scans, and adding melody and prosody dimensions could enable more comprehensive thought reconstruction.\u00a0Thought-to-speech interfaces could give voice to the speech-impaired. Beyond clinical applications, decoding techniques offer opportunities to study memory, learning, and creativity by reading thoughts, bringing us closer to understanding what happens within the mind.<\/p>\n<p>As Dr. Robert T. Knight aptly put it, \u201c<em>Today we reconstructed a song; maybe tomorrow we can reconstruct the entire Pink Floyd album.\u201d<\/em> This monumental breakthrough bridges the gap between the intricacies of music, the human brain, and the potential of AI.<\/p>\n<p><iframe data-test-id=\"beehiiv-embed\" width=\"100%\" height=\"320\" frameborder=\"0\" scrolling=\"no\" style=\"border-radius: 4px; border: 2px solid #e5e7eb; margin: 0; background-color: transparent;\" class=\"perfmatters-lazy\" data-src=\"https:\/\/embeds.beehiiv.com\/37fed65e-f01c-4c4c-b8f1-1b71da0be0a4\"><\/iframe><noscript><iframe loading=\"lazy\" src=\"https:\/\/embeds.beehiiv.com\/37fed65e-f01c-4c4c-b8f1-1b71da0be0a4\" data-test-id=\"beehiiv-embed\" width=\"100%\" height=\"320\" frameborder=\"0\" scrolling=\"no\" style=\"border-radius: 4px; border: 2px solid #e5e7eb; margin: 0; background-color: transparent;\"><\/iframe><\/noscript><\/p>\n<div class=\"bottom-text__wrapper post-content\">\n<p>\u00a0<\/p>\n<hr\/>\n<p><em>All investment\/financial opinions expressed by NFTevening.com are not recommendations.<\/em><\/p>\n<p><em>This article is educational material.<\/em><\/p>\n<p><em>As always, make your own research prior to making any kind of investment.<\/em><\/p>\n<\/div>\n<\/div>\n<p><a href=\"https:\/\/nftevening.com\/ai-reads-minds-to-recreate-music\/\" target=\"_blank\" rel=\"noopener\">Source link <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The future of AI music is about to get a whole lot better.\u00a0Imagine being able to recreate a song simply by thinking about it! Thanks to artificial intelligence, this futuristic concept is becoming a reality. Scientists have achieved a groundbreaking feat by using AI to replicate music based on brain activity patterns, ushering in a [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":10671,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_publicize_message":"","jetpack_is_tweetstorm":false,"jetpack_publicize_feature_enabled":true},"categories":[9],"tags":[21],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"https:\/\/nftevening.com\/wp-content\/uploads\/2023\/08\/Screen-Shot-2023-08-17-at-12.36.07-pm.png","jetpack_sharing_enabled":true,"jetpack_likes_enabled":true,"_links":{"self":[{"href":"https:\/\/nft.runfyers.com\/index.php\/wp-json\/wp\/v2\/posts\/10670"}],"collection":[{"href":"https:\/\/nft.runfyers.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/nft.runfyers.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/nft.runfyers.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/nft.runfyers.com\/index.php\/wp-json\/wp\/v2\/comments?post=10670"}],"version-history":[{"count":0,"href":"https:\/\/nft.runfyers.com\/index.php\/wp-json\/wp\/v2\/posts\/10670\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/nft.runfyers.com\/index.php\/wp-json\/wp\/v2\/media\/10671"}],"wp:attachment":[{"href":"https:\/\/nft.runfyers.com\/index.php\/wp-json\/wp\/v2\/media?parent=10670"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/nft.runfyers.com\/index.php\/wp-json\/wp\/v2\/categories?post=10670"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/nft.runfyers.com\/index.php\/wp-json\/wp\/v2\/tags?post=10670"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}