{"id":21227,"date":"2022-05-02T13:09:25","date_gmt":"2022-05-02T17:09:25","guid":{"rendered":"https:\/\/splice.com\/blog\/?p=21227"},"modified":"2025-12-18T14:28:32","modified_gmt":"2025-12-18T19:28:32","slug":"alejandro-koretzky-coso-interview","status":"publish","type":"post","link":"https:\/\/splice.com\/blog\/alejandro-koretzky-coso-interview\/","title":{"rendered":"An interview with Alejandro Koretzky on the vision behind CoSo"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">Alejandro Koretzky wears many hats.<\/h2>\n\n\n\n<p class=\"has-black-color has-cyan-bluish-gray-background-color has-text-color has-background\"><em><strong>This article features an older version of our app\u2014<\/strong><a href=\"https:\/\/splice.com\/blog\/how-to-use-splice-mobile-app\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>learn more about all of the latest features,<\/strong><\/a><strong> and <\/strong><a href=\"https:\/\/splice.onelink.me\/vNNn\/sozstw8b\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>download the new Splice mobile app here.<\/strong><\/a><\/em><\/p>\n\n\n\n<p>Known as a musician in his home country of Argentina, Ale is the Head of Machine Learning &amp; Audio Science Innovation at Splice. An advocate for creators in tech, Ale has worked with The Roux Institute Techstars Accelerator and Cornell Tech&#8217;s Breakthrough AI program, and is an advisor to Anyone AI, connecting LATAM AI talent with the industry worldwide. In 2015 he invented tuneSplit, one of the first machine learning based products that allowed users to <a href=\"https:\/\/medium.com\/towards-data-science\/audio-ai-isolating-vocals-from-stereo-music-using-convolutional-neural-networks-210532383785\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"extract vocals, (opens in a new tab)\">extract vocals,<\/a> drums, and other parts from full stereo tracks in real time.<\/p>\n\n\n\n<p>So it\u2019s fair to say he\u2019s one of the world\u2019s leading experts at the intersection of audio and machine learning, driving Splice\u2019s innovation strategy and execution around intelligent sound discovery and the future of music creation surfaces.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">What is CoSo?<\/h2>\n\n\n\n<p><a href=\"https:\/\/splice.com\/tools\/mobile\" target=\"_blank\" rel=\"noreferrer noopener\">CoSo<\/a>\u2014short for &#8216;complementary sounds&#8217;\u2014is Splice\u2019s new revolutionary technology that uses AI to quickly find sounds that work together. Utilizing Splice\u2019s vast catalog, CoSo uses technology to find loops that complement each other for frictionless creativity. Starting as a mobile app, CoSo uses Stacks\u2014collections of up to eight looping Layers\u2014that consist of anything from vocals, beats, basslines, guitar, and keys to FX, pads, and more. Swiping right on any layer prompts CoSo to quickly find another compatible and complementary sound\u2014not just to any one Layer, but to the entire loop Stack.<\/p>\n\n\n\n<p>The result is a fluid sound discovery and music-making experience. No search boxes, no auditioning sounds, no browsing\u2014just using your ear to find what appeals to you. The magic happens behind the scenes, allowing you to stay focussed on being creative, whether you\u2019re an established artist or have never made music before.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Developing CoSo<\/h2>\n\n\n\n<p>\u201cHistorically, music creation has presented high barriers of friction, even to the most proficient songwriters, producers, and composers,\u201d explains Koretzky. \u201cFrom idea to completion, the process of finding, crafting, and combining the right sounds towards something that sounds great, is in most cases, a fragmented and hard-to-replicate ritual.&#8221;<\/p>\n\n\n\n<p>\u201cWhen I joined Splice to build the Audio Science team, the first task was to figure out what machine learning could do for the business,\u201d he continues. \u201cWe asked ourselves as creators, \u2018What are the points of friction in digital music making today?\u2019 It seemed that even with a vast catalog at your fingertips, finding the \u2018right\u2019 sound wasn\u2019t always simple. That led us to the first user-facing AI-powered feature, <a href=\"https:\/\/splice.com\/blog\/introducing-similar-sounds\/\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"Similar Sounds, (opens in a new tab)\">Similar Sounds,<\/a> which redefined the way users find samples on Splice.&#8221;<\/p>\n\n\n\n<p>\u201cThe second point of friction is figuring out how and where to use a sound\u2014it\u2019s often an even more challenging task,&#8221; continues Koretzky. \u201cWe asked, \u2018What can we do that is universal, workflow-agnostic, and almost product-agnostic?\u2019 That derived into an even more fundamental question: \u2018What makes two sounds work well together?\u2019 But for as long as we continued investing in discovery only, or creation only, friction would still remain. So two years ago, we redefined our strategy as discovery-driven creation. That became our north star that led us to CoSo.\u201d<\/p>\n\n\n\n<p>For Koretzky, CoSo isn\u2019t just an app; it\u2019s a whole new landscape for music making: \u201cThis can become a new paradigm that seamlessly integrates discovery, curation, and creation. To me, that is revolutionary. I believe we will hear a richer and more diverse selection of sounds bubbling up through this technology, that we might surprise creatives with new ideas. We\u2019re still discovering CoSo\u2019s potential and will continue to develop it and improve. But if we can prove this new paradigm is of value and accelerates the process of finding inspiration and completing an idea, then that is a huge win for our users.\u201d<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Beyond metadata<\/h2>\n\n\n\n<p>While it\u2019s possible to build a rule-based system to match up sounds using annotated metadata like key, chords, or BPM, these approaches have many limitations and they don\u2019t scale or generalize well. CoSo works at a much lower level and goes beyond metadata, matching sounds in real-time and always listening, adapting, and shifting its results based on the sonic qualities of the Stack as a whole. CoSo has no prior knowledge of any of the sounds and relies only on the audio data itself, only leveraging basic metadata about instruments to give users more creative choices across styles and genres. Given the millions of sounds in the Splice catalog and the up-to-eight Layers within a Stack in CoSo, anyone using the app can generate billions of combinations as CoSo reacts to creative decisions in milliseconds. But how does it work?<\/p>\n\n\n\n<p>\u201cThe rules of music harmony took centuries to crystallize\u2014but at their core, it comes down to the physics of sound,\u201d says Koretzky. \u201cWaves that are matching or not, that are consonant or dissonant, that create stable and coherent relationships. CoSo is modeling all of that and more, even accounting for rhythmic coherence. And because it works at such a primitive level, CoSo can scale to millions of sounds, match across keys and tempos, and generate arrangements that would be almost impossible to achieve using rules and heuristics. That\u2019s as far as I can go in terms of revealing the tech.\u201d<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Empowering creatives<\/h2>\n\n\n\n<p>Secretive design aside, introducing AI in the studio can sometimes make creatives feel uncomfortable. Given the highly personal nature of music making, do we really want a machine telling us what sounds go \u2018best\u2019 together? Art and music are subjective things, and one person\u2019s \u2018best\u2019 might be another person\u2019s \u2018boring.\u2019 While math can predict what sounds match in theory, how can AI replicate a spark of creativity, a moment of madness in the studio, or a happy accident that leads to a unique and personal musical moment? <\/p>\n\n\n\n<p>\u201cMusic will always be subjective,\u201d says Koretzky. \u201cNo machine should ever tell you: \u2018This is the best music you could aim for.\u2019 The core principle for CoSo is a good starting point, that delivers on the promise of \u2018sounding good.\u2019 We can all agree that something that sounds good might not necessarily be interesting. That\u2019s why we are giving users a set of mechanics to navigate that starting point and make it whatever they want eventually.\u201d <\/p>\n\n\n\n<p>Once you\u2019re feeling your Stack and are ready to take things further, you can open each loop on Splice to download them for your DAW or music-making tools of choice. Soon, you\u2019ll be able to export your Stack directly to Ableton Live, and Koretzky is excited about the potential for subscribers to capture their own audio for use in CoSo.<\/p>\n\n\n\n<p>While the tech is impressive, it\u2019s nothing without the creativity of its users. By offering up sounds that you might not even realize you\u2019re looking for, CoSo can shake you from your comfort zone, sparking new ideas from a more diverse range of sounds than you might have considered. The fluidity of CoSo means you can follow your ear, not pigeonholed to one genre, style, tempo, or key, contextualizing the Splice catalog in a way that wasn\u2019t possible before. While many of us know what kind of sound we want, sticking to what\u2019s familiar can lead to an echo chamber of ideas. CoSo is the perfect solution to writer\u2019s block, or being stuck in a loop, something many creatives can relate to.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">CoSo serious<\/h2>\n\n\n\n<p>Using human-centered AI and CoSo to create ideas and break down barriers to entry for new music makers is undoubtedly an exciting new era for music production. CoSo is a revolutionary tool that could only be possible using Splice\u2019s vast and industry-leading catalog of sounds. For creators who are looking for quick results, it\u2019s a groundbreaking app that can generate impressive arrangements in seconds, with no prior music knowledge. For experienced producers and established artists, it\u2019s a frictionless and fun sound discovery platform that bypasses traditional DAW and plugin interfaces to deliver high-quality building blocks of inspiration for your next track. For everyone, it\u2019s a fun and fluid way to engage with music-making like never before.<\/p>\n\n\n\n<p>For more information, and to download CoSo, head to <a href=\"https:\/\/splice.com\/tools\/mobile\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/splice.com\/tools\/mobile.<\/a><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"has-text-align-center\">This technology is now also available on our web experience via Create:<\/p>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button aligncenter\"><a class=\"wp-block-button__link\" href=\"https:\/\/splice.com\/sounds\/create\" target=\"_blank\" rel=\"noreferrer noopener\">Try it out<\/a><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Alejandro Koretzky wears many hats. Known as a musician in his home country of Argentina, Ale is the Head of Machine Learning &amp; Audio Science&#8230;<\/p>\n","protected":false},"author":120,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":""},"categories":[1],"tags":[1710,1254,3],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>An interview with Alejandro Koretzky on the vision behind CoSo - Blog | Splice<\/title>\n<meta name=\"robots\" content=\"noindex, follow\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"An interview with Alejandro Koretzky on the vision behind CoSo - Blog | Splice\" \/>\n<meta property=\"og:description\" content=\"Alejandro Koretzky wears many hats. 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