{"product_id":"deepvintagetapemai","title":"Three-Body Technology Deep Vintage Tape M 2.0","description":"\u003ch1 style=\"text-align: center;\"\u003e\u003ciframe width=\"690\" height=\"388\" src=\"https:\/\/www.youtube.com\/embed\/ZgirSQqFmgA?si=wsmIX-VnzeV0wqNA\" title=\"YouTube video player\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen\u003e\u003c\/iframe\u003e\u003c\/h1\u003e\u003ch1 style=\"text-align: center;\"\u003e \u003c\/h1\u003e\u003ch1 style=\"text-align: center;\"\u003e\u003cimg alt=\"\" height=\"\" src=\"https:\/\/www.jrrshop.com\/media\/catalog\/product\/t\/h\/threebodytechnologydeepvintage.jpg\" width=\"690\"\u003e\u003c\/h1\u003e\n\u003ch1 style=\"text-align: center;\"\u003e \u003c\/h1\u003e\n\u003cdiv class=\"content content_full content_deepvintage\" style=\"text-align: center;\"\u003e\n\u003cdiv id=\"lm0\" style=\"text-align: center;\"\u003e\n\u003ch1\u003eDeep Vintage\u003c\/h1\u003e\n\u003ch4\u003eAI-Powered Hardware Simulation Plugin Series\u003c\/h4\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eThis is a machine that endeavors to pass the human-ear Turing Test, a deep-learning AI technology with a vintage heart.\u003c\/p\u003e\n\u003cp\u003eDeep Vintage series is a suite of plugins that simulate real hardware. Utilizing the power of AI, every Deep Vintage plugin authentically captures the true 'soul' of the vintage gear.\u003c\/p\u003e\n\u003cp\u003ePowered by Three-Body Tech's self-developed APNN (Audio Processing Neural Network), a machine learning technology specialized in simulating analog effect processors, Deep Vintage guarantees you the closest listening experience ever to the legendary hardware models, while ensuring a complete real-time processing.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv\u003e\u003cimg src=\"https:\/\/cdn.threebodytech.com\/statics\/images\/qt\/deepvintage\/tapesai_content.png\" width=\"690\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003ch1 id=\"lm0_0\"\u003e \u003c\/h1\u003e\n\u003ch1\u003eHow is it different?\u003c\/h1\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eWe have been exposed to numerous emulation technologies: physical modeling, convolution... among many others. Regardless of what technics to engage, our ultimate goal is consistent: to achieve the highest possible fidelity in reproducing the sound of the real-world devices.\u003c\/p\u003e\n\u003cp\u003eAPNN was meticulously designed and trained to excel in this task, as its learning is based on audio signals from the real hardware units. Deep Vintage plugins are not merely 'theoretically correct modeling of circuits' nor solely based on harmonic structures or impulse responses; they capture 100% 3D feels in the analog sound.\u003c\/p\u003e\n\u003ch1 id=\"lm0_1\"\u003e \u003c\/h1\u003e\n\u003ch1\u003eHow does it work?\u003c\/h1\u003e\n\u003cdiv id=\"lmvideo\"\u003e \u003c\/div\u003e\n\u003cp\u003eTo put it simply, APNN is a neural network specifically optimized for audio processing, which is composed of a massive combination of audio processing modules (EQ, compressor, overdrive, etc.).\u003c\/p\u003e\n\u003cp\u003eTo capture the essence of a hardware model, APNN will automatically adjust its structure and parameters until the difference between its output and the hardware's output progressively diminishes.\u003c\/p\u003e\n\u003cp\u003eUltimately, APNN achieves an error signal of phase cancellation at about -40dB to -75dB (depending on the hardware model). With this exceptional level of error control, which surpasses even the variance between different production batches of the same hardware model, we can confidently say that APNN is capable of 'deceiving' human ears.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cimg src=\"https:\/\/cdn.threebodytech.com\/statics\/images\/qt\/deepvintage\/apnn.gif\"\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eNothing in your DAW comes closer to the real hardware than the APNN-powered plugins.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv id=\"lm1\" style=\"text-align: center;\"\u003e\n\u003cdiv id=\"lm1_3\"\u003e\n\u003cdiv id=\"lm1_4\"\u003e\n\u003cdiv\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\u003cimg src=\"https:\/\/cdn.threebodytech.com\/statics\/images\/qt\/deepvintage\/tapemai.png\" width=\"690\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv id=\"lm1_5\"\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\n\u003ch1\u003e \u003c\/h1\u003e\n\u003ch1\u003eTape M AI\u003c\/h1\u003e\n\u003cp\u003eInspired by a top-tier ’70s 2-track tape machine from Germany.\u003c\/p\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\n\u003ch1\u003e \u003c\/h1\u003e\n\u003ch1\u003eMore Features\u003c\/h1\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv id=\"lm3\" style=\"text-align: center;\"\u003e\n\u003cdiv\u003eSwitchable noise simulation\u003cbr\u003eApple silicon native support\u003cbr\u003eUndo\/redo\u003cbr\u003eA\/B switching\u003cbr\u003eInput\/output level meter\u003cbr\u003eMono mode\u003cbr\u003eLR\/MS processing\u003cbr\u003ePhase invert\u003cbr\u003eGUI re-scaling\u003c\/div\u003e\n\u003ch1 id=\"lm3_1\"\u003e \u003c\/h1\u003e\n\u003ch1\u003eLatency\u003c\/h1\u003e\n\u003cdiv\u003e26 sample points, about 0.6ms at 44100 Hz\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch1 class=\"content content_full content_deepvintage\" style=\"text-align: center;\"\u003e \u003c\/h1\u003e\n\u003ch1 class=\"content content_full content_deepvintage\" style=\"text-align: center;\"\u003eSystem Requirements\u003c\/h1\u003e\n\u003cdiv class=\"content content_full content_deepvintage\" style=\"text-align: center;\"\u003e\n\u003ch4\u003e \u003c\/h4\u003e\n\u003ch4\u003eMac\u003c\/h4\u003e\nmacOS 11 or higher\u003cbr\u003e64 bit\u003cbr\u003eIntel or Apple M1 CPU\u003cbr\u003eRAM: 4GB\u003cbr\u003e\n\u003ch4\u003e \u003c\/h4\u003e\n\u003ch4\u003eWindows\u003c\/h4\u003e\nWindows 8 or higher\u003cbr\u003e64 bit\u003cbr\u003eIntel or AMD CPU with SSE 4.1\u003cbr\u003eRAM: 4GB\u003c\/div\u003e\n\u003ch1 class=\"content content_full content_deepvintage\" style=\"text-align: center;\"\u003e \u003c\/h1\u003e\n\u003ch1 class=\"content content_full content_deepvintage\" style=\"text-align: center;\"\u003ePlugin Formats\u003c\/h1\u003e\n\u003cp class=\"content content_full content_deepvintage\" style=\"text-align: center;\"\u003e64-bit VST2, VST3, AAX and Audio Unit.\u003c\/p\u003e\u003ch1 style=\"text-align: center;\"\u003e \u003c\/h1\u003e\u003ch1 style=\"text-align: center;\"\u003eRegistration Information\u003c\/h1\u003e\u003cp style=\"text-align: center;\"\u003eRegistration Code: http:\/\/www.bsdwl.de\/xchange\/VSN_download_@retail.pdf  \u003c\/p\u003e","brand":"Three-Body Technology","offers":[{"title":"Default Title","offer_id":53053120217372,"sku":"1133-304","price":79.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0732\/1983\/4140\/files\/threebodytechnologydeepvintagetapemai.jpg?v=1758877042","url":"https:\/\/jrrshop-3235.myshopify.com\/products\/deepvintagetapemai","provider":"jrrshop","version":"1.0","type":"link"}