{"id":2066,"date":"2026-07-08T04:00:00","date_gmt":"2026-07-08T04:00:00","guid":{"rendered":"https:\/\/futurenews24.com\/index.php\/2026\/07\/08\/2511-05350\/"},"modified":"2026-07-09T01:59:08","modified_gmt":"2026-07-09T01:59:08","slug":"2511-05350","status":"publish","type":"post","link":"https:\/\/futurenews24.com\/index.php\/2026\/07\/08\/2511-05350\/","title":{"rendered":"[2511.05350] Perceptually Aligning Representations of Music by way of Noise-Augmented Autoencoders"},"content":{"rendered":"<p><br \/>\n<\/p>\n<div id=\"content-inner\">\n<div id=\"abs\">\n<div class=\"dateline\">\n  [Submitted on 7 Nov 2025 (v1), last revised 7 Jul 2026 (this version, v3)]<\/div>\n<p>View a PDF of the paper titled Perceptually Aligning Representations of Music by way of Noise-Augmented Autoencoders, by Mathias Rose Bjare and 4 different authors<\/p>\n<p>    View PDF<br \/>\n    HTML (experimental)<\/p>\n<blockquote class=\"abstract mathjax\"><p>\n            <span class=\"descriptor\">Summary:<\/span>We argue that coaching autoencoders to reconstruct inputs from noised variations of their encodings, when mixed with perceptually motivated losses, yields encodings which can be structured in keeping with a perceptual hierarchy. We show the emergence of this hierarchy by displaying that, after coaching an audio autoencoder on this method, perceptually salient info is captured in coarser illustration constructions than with standard coaching. Moreover, we present that such perceptual hierarchies enhance latent diffusion decoding within the context of estimating pitch surprisal in music and predicting EEG-brain responses to music listening. In each circumstances, our outcomes surpass these of earlier strategies. Pretrained weights can be found on this http URL.\n    <\/p><\/blockquote><\/div>\n<\/div>\n<div>\n<h2>Submission historical past<\/h2>\n<p> From: Mathias Rose Bjare MSc [view email]                  [v1]<br \/>\n        Fri, 7 Nov 2025 15:44:12 UTC (416 KB)<br \/>\n            [v2]<br \/>\n        Mon, 10 Nov 2025 14:11:02 UTC (416 KB)<br \/>\n    [v3]<br \/>\n        Tue, 7 Jul 2026 12:35:40 UTC (465 KB)\n<\/p><\/div>\n<p><br \/>\n<br \/><a href=\"https:\/\/arxiv.org\/abs\/2511.05350\">Source link <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>[Submitted on 7 Nov 2025 (v1), last revised 7 Jul 2026 (this version, v3)] View a PDF of the paper titled Perceptually Aligning Representations of Music by way of Noise-Augmented Autoencoders, by Mathias Rose Bjare and 4 different authors View PDF HTML (experimental) Summary:We argue that coaching autoencoders to reconstruct inputs from noised variations of [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":2068,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"http:\/\/arxiv.org\/static\/browse\/0.3.4\/images\/arxiv-logo-fb.png","fifu_image_alt":"","jnews-multi-image_gallery":[],"jnews_single_post":[],"jnews_primary_category":[],"jnews_override_bookmark_settings":[],"jnews_social_meta":[],"jnews_override_counter":[],"footnotes":""},"categories":[2],"tags":[2573,2576,45,2575,2572,2574],"class_list":["post-2066","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-research-breakthroughs","tag-aligning","tag-autoencoders","tag-music","tag-noiseaugmented","tag-perceptually","tag-representations"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.7 - 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