{"id":21060,"date":"2025-12-16T16:03:41","date_gmt":"2025-12-16T16:03:41","guid":{"rendered":"https:\/\/scannn.com\/our-new-sam-audio-model-transforms-audio-editing\/"},"modified":"2025-12-16T16:03:41","modified_gmt":"2025-12-16T16:03:41","slug":"our-new-sam-audio-model-transforms-audio-editing","status":"publish","type":"post","link":"https:\/\/scannn.com\/lv\/our-new-sam-audio-model-transforms-audio-editing\/","title":{"rendered":"Our New SAM Audio Model Transforms Audio Editing"},"content":{"rendered":"<p> <br \/>\n<\/p>\n<div>\n<p><span style=\"font-weight: 400\">Today, we\u2019re introducing SAM Audio, a state-of-the-art AI model that enables you to segment sound. Imagine recording a video of your favorite band and isolating the guitar or vocals with a single click, using text prompts to filter traffic noise from a video filmed outside, or removing the sound of a dog barking from your entire podcast recording. SAM Audio, the latest addition to <\/span><a href=\"https:\/\/about.fb.com\/news\/2025\/11\/new-sam-models-detect-objects-create-3d-reconstructions\/\"><span style=\"font-weight: 400\">our Segment Anything collection<\/span><\/a><span style=\"font-weight: 400\">, transforms audio processing by making it easy to isolate any sound from complex audio mixtures using text, visual, and time span prompts.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">This intuitive approach mirrors how people naturally engage with sound, making professional-grade audio separation more accessible and easier than ever before. SAM Audio has the potential to transform audio and video editing and drive innovation in areas like music, podcasting, television, film, scientific research, accessibility, and more.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Until now, audio segmentation and editing has been a fragmented space, with a variety of tools designed for single-purpose use cases. As a unified model, SAM Audio is the first to support use cases that match how people naturally think about audio, and achieves cutting-edge performance across diverse, real-world scenarios. SAM Audio supports three kinds of prompts:\u00a0<\/span><\/p>\n<ul>\n<li><b>Text prompting<\/b><span style=\"font-weight: 400\">: Type \u201cdog barking\u201d or \u201csinging voice\u201d to extract specific sounds.<\/span><\/li>\n<\/ul>\n<p>\u00a0<\/p>\n<ul>\n<li style=\"font-weight: 400\"><b>Visual prompting<\/b><span style=\"font-weight: 400\">: Click on the person or object in the video that\u2019s making a sound to isolate their audio.<\/span><\/li>\n<\/ul>\n<p>\u00a0<\/p>\n<ul>\n<li style=\"font-weight: 400\"><b>Span prompting<\/b><span style=\"font-weight: 400\">: An industry first, this method lets you mark time segments where target audio occurs.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">These prompting methods can be used alone or in any combination, giving you <\/span><span style=\"font-weight: 400\">precise and intuitive control over how audio is separated. We see <\/span><span style=\"font-weight: 400\">so many potential use cases, including sound isolation, noise filtering, and more to help people bring their creative visions to life, and we\u2019re already using SAM<\/span><span style=\"font-weight: 400\"> Audio to help build t<\/span><span style=\"font-weight: 400\">he next generation of creative media tools.<\/span><\/p>\n<p><span style=\"font-weight: 400\">You can try SAM Audio in <\/span><span style=\"font-weight: 400\">the Segment Anything Playground, our new platform that enables anyone to try our latest models. Starting today, people can select from our collection of audio and video assets or upload their own to explore the capabilities of SAM Audio. The model is also available for download.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">We\u2019re excited to bring audio to the Segment Anything collection of models and we believe SAM Audio is the all-around best audio separation model available. Learn <\/span><a href=\"http:\/\/ai.meta.com\/blog\/sam-audio\"><span style=\"font-weight: 400\">more about SAM Audio<\/span><\/a><span style=\"font-weight: 400\"> and try it on the <\/span><a href=\"https:\/\/aidemos.meta.com\/segment-anything\/\"><span style=\"font-weight: 400\">Segment Anything Playground<\/span><\/a><span style=\"font-weight: 400\"> today.<\/span><\/p>\n<\/p><\/div>\n<p><script async defer crossorigin=\"anonymous\" src=\"https:\/\/connect.facebook.net\/en_US\/sdk.js#xfbml=1&#038;version=v5.0\"><\/script><br \/>\n<br \/><br \/>\n<br \/><a href=\"https:\/\/about.fb.com\/news\/2025\/12\/our-new-sam-audio-model-transforms-audio-editing\/\">Source link <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Today, we\u2019re introducing SAM Audio, a state-of-the-art AI model that enables you to segment sound. Imagine recording a video of your favorite band and isolating the guitar or vocals with a single click, using text prompts to filter traffic noise from a video filmed outside, or removing the sound of a dog barking from your [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":21061,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[123],"tags":[],"class_list":["post-21060","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-facebook"],"_links":{"self":[{"href":"https:\/\/scannn.com\/lv\/wp-json\/wp\/v2\/posts\/21060","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/scannn.com\/lv\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/scannn.com\/lv\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/scannn.com\/lv\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/scannn.com\/lv\/wp-json\/wp\/v2\/comments?post=21060"}],"version-history":[{"count":0,"href":"https:\/\/scannn.com\/lv\/wp-json\/wp\/v2\/posts\/21060\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/scannn.com\/lv\/wp-json\/wp\/v2\/media\/21061"}],"wp:attachment":[{"href":"https:\/\/scannn.com\/lv\/wp-json\/wp\/v2\/media?parent=21060"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/scannn.com\/lv\/wp-json\/wp\/v2\/categories?post=21060"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/scannn.com\/lv\/wp-json\/wp\/v2\/tags?post=21060"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}