{"id":1170,"date":"2026-02-19T04:44:45","date_gmt":"2026-02-18T20:44:45","guid":{"rendered":"https:\/\/obagg.com\/index.php\/2026\/02\/19\/gemini-can-now-generate-a-30-second-approximation-of-what-real-music-sounds-like\/"},"modified":"2026-02-19T04:44:45","modified_gmt":"2026-02-18T20:44:45","slug":"gemini-can-now-generate-a-30-second-approximation-of-what-real-music-sounds-like","status":"publish","type":"post","link":"https:\/\/obagg.com\/index.php\/2026\/02\/19\/gemini-can-now-generate-a-30-second-approximation-of-what-real-music-sounds-like\/","title":{"rendered":"Gemini can now generate a 30-second approximation of what real music sounds like"},"content":{"rendered":"
\n
<\/div>\n<\/div>\n

Google has announced<\/a> that using its newly incorporated Lyria 3 model, Gemini users will be able to generate 30-second music tracks based on a prompt, or remix an existing track to their liking. The new model builds on Gemini’s pre-existing ability to generate text, images and video, and will also be available in YouTube’s “Dream Track”<\/a> feature, where it can be used to generate detailed backing tracks for Shorts.<\/p>\n

Like some other music generation tools, prompting Gemini doesn’t require a lot of detail to produce serviceable results. Google’s example prompt is “a comical R&B slow jam about a sock finding their match,” but after playing with Lyria 3, you can definitely get more granular about individual elements of a track \u2014 changing the tempo or the style of drumming, for example \u2014 if you want to. Outside of text, Gemini can also generate music based on a photo or video, and tracks can be paired with album art created by Google’s Nano Banana image model<\/a>.<\/p>\n

\n
<\/div>\n<\/div>\n

Google says that Lyria 3 improves on its previous audio generation models in its ability to create more “realistic and musically complex” tracks, give prompters more control over individual components of a song and automatically generate lyrics. Gemini’s outputs are limited to 30-second clips for now, but given how Google’s promotional video shows off the feature, it’s not hard to imagine those clips getting longer or the model getting incorporated into other apps, like Google Messages.<\/p>\n

Like Gemini’s other AI-generated outputs, songs made with Lyria 3 are also watermarked with Google’s SynthID<\/a>, so a Gemini clip can’t as easily be passed off as a human one. Google started rolling out its SynthID Detector<\/a> for identifying AI-generated content at Google I\/O 2025. The sample tracks Google included alongside its announcement are convincing, but you might not need the company’s tool to notice their machine-made qualities. The instrumental parts of Gemini\u2019s clips often sound great, but the composition of the lyrics Lyria 3 produces sounds alternately corny and strange.<\/p>\n

If you’re curious to try Lyria 3 for yourself, Google says you can prompt tracks in Gemini starting today, provided you’re 18 years or older and speak English, Spanish, German, French, Hindi, Japanese, Korean or Portuguese.<\/p>\n

This article originally appeared on Engadget at https:\/\/www.engadget.com\/ai\/gemini-can-now-generate-a-30-second-approximation-of-what-real-music-sounds-like-204445903.html?src=rss<\/p>

Please credit: OBA Blog<\/a> » Gemini can now generate a 30-second approximation of what real music sounds like<\/a><\/p>","protected":false},"excerpt":{"rendered":"

Google has announced that using its newly incorporated Lyria 3 model, Gemini users will be able to generate 30-second music tracks based on a prompt, or remix an existing track to their liking. The new model builds on Gemini’s pre-existing ability to generate text, images and video, and will also be available in YouTube’s “Dream Track” feature, where it can be used to generate detailed backing tracks for Shorts. Like some other music generation tools, prompting Gemini doesn’t require a lot of detail to produce serviceable results. Google’s example prompt is “a comical R&B slow jam about a sock finding their match,” but after playing with Lyria 3, you can definitely get more granular about individual elements of a track \u2014 changing the tempo or […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1170","post","type-post","status-publish","format-standard","hentry","category-share"],"_links":{"self":[{"href":"https:\/\/obagg.com\/index.php\/wp-json\/wp\/v2\/posts\/1170","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/obagg.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/obagg.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/obagg.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/obagg.com\/index.php\/wp-json\/wp\/v2\/comments?post=1170"}],"version-history":[{"count":0,"href":"https:\/\/obagg.com\/index.php\/wp-json\/wp\/v2\/posts\/1170\/revisions"}],"wp:attachment":[{"href":"https:\/\/obagg.com\/index.php\/wp-json\/wp\/v2\/media?parent=1170"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/obagg.com\/index.php\/wp-json\/wp\/v2\/categories?post=1170"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/obagg.com\/index.php\/wp-json\/wp\/v2\/tags?post=1170"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}