{"id":14770,"date":"2024-09-06T08:37:00","date_gmt":"2024-09-06T00:37:00","guid":{"rendered":"https:\/\/www.linkaudio.cc\/?p=14770"},"modified":"2024-09-06T08:37:00","modified_gmt":"2024-09-06T00:37:00","slug":"three-body-tech-deep-vintage-brit-73-ai-v1-0-0r1-win","status":"publish","type":"post","link":"https:\/\/www.linkaudio.cc\/en\/14770.html","title":{"rendered":"Three Body Tech Deep Vintage Brit 73 AI v1.0.0r1 [WiN]"},"content":{"rendered":"<div id=\"MinePlayer_87433\" class=\"MinePlayer\"><table border=\"0\" cellpadding=\"0\" cellspacing=\"0\" width=\"100%\"><tbody><tr style=\"display:none;\"><td height=\"26\"><table border=\"0\" cellpadding=\"0\" cellspacing=\"0\" id=\"playtop_87433\" class=\"playtop\"><tbody><tr><td id=\"topleft\"><a target=\"_self\" href=\"javascript:void(0)\" onclick=\"MP_87433.GoPreUrl();return false;\">\u4e0a\u4e00\u96c6<\/a> <a target=\"_self\" href=\"javascript:void(0)\" onclick=\"MP_87433.GoNextUrl();return false;\">\u4e0b\u4e00\u96c6<\/a><\/td><td id=\"topcc\"><div id=\"topdes_87433\" class=\"topdes\">\u6b63\u5728\u64ad\u653e<\/div><\/td><td id=\"topright_87433\" class=\"topright\"><\/td><\/tr><\/tbody><\/table><\/td><\/tr><tr><td><table border=\"0\" cellpadding=\"0\" cellspacing=\"0\"><tbody><tr><td id=\"playleft_87433\" class=\"playleft\" valign=\"top\" style=\"height:500px;\"><\/td><td id=\"playright_87433\" valign=\"top\"><\/td><\/tr><\/tbody><\/table><\/td><\/tr><\/tbody><\/table><\/div><input type=\"hidden\" id=\"mine_ifr_IFrame_87433\" value='<iframe border=\"0\" src=\"{vid}\" width=\"100%\" height=\"500\" marginwidth=\"0\" framespacing=\"0\" marginheight=\"0\" frameborder=\"0\" scrolling=\"no\" vspale=\"0\" noresize=\"\" allowfullscreen=\"true\" id=\"minewindow_IFrame_87433\"><\/iframe>'\/><div class=\"layui-tab layui-tab-brief\" lay-filter=\"videoGroup\" style=\"margin:10px auto;display:none;\"><ul class=\"layui-tab-title\"><li class=\"layui-this\">\u4ea7\u54c1\u89c6\u9891<\/li><\/ul><div class=\"layui-tab-content\" style=\"height: auto;padding-left:0;\"><div class=\"layui-tab-item layui-show\"><div id=\"MineBottomList_IFrame_87433\" class=\"MineBottomList\"><ul class=\"result_album\" id=\"result_album_IFrame_87433\"><li><a href=\"javascript:void(0)\" onclick=\"MP_87433.Go(0, 'IFrame');return false;\">\u7b2c01\u96c6<\/a><\/li><\/ul><\/div><\/div><\/div><\/div>\n<p>&nbsp;<\/p>\n<div class=\"accordion accordion-icon accordion-bg-light\"> <div class=\"accordion-item mb-3\"> <h6 class=\"accordion-header font-base\"> <button class=\"accordion-button rounded d-inline-block\" type=\"button\" data-toggle=\"collapse\" data-target=\"#collapse-1849923744\" aria-expanded=\"true\" aria-controls=\"collapse-1849923744\">\u4e2d\u6587\u7ffb\u8bd1<\/button> <\/h6> <div id=\"collapse-1849923744\" class=\"accordion-collapse collapse show\"> <div class=\"accordion-body mt-3\"><\/p>\n<p>\u6df1\u5ea6\u590d\u53e4<br \/>\nAI\u9a71\u52a8\u7684\u786c\u4ef6\u6a21\u62df\u63d2\u4ef6\u7cfb\u5217<\/p>\n<p>\u8fd9\u662f\u4e00\u53f0\u81f4\u529b\u4e8e\u901a\u8fc7\u4eba\u8033\u56fe\u7075\u6d4b\u8bd5\u7684\u673a\u5668\uff0c<br \/>\n\u4e00\u79cd\u62e5\u6709\u590d\u53e4\u7075\u9b42\u7684\u6df1\u5ea6\u5b66\u4e60AI\u6280\u672f\u3002<\/p>\n<p>Deep Vintage\u7cfb\u5217\u662f\u4e00\u5957\u6a21\u62df\u771f\u5b9e\u786c\u4ef6\u7684\u63d2\u4ef6\u5957\u4ef6\u3002\u5229\u7528AI\u7684\u5f3a\u5927\u529f\u80fd\uff0c\u6bcf\u4e2aDeep Vintage\u63d2\u4ef6\u90fd\u80fd\u771f\u5b9e\u6355\u6349\u590d\u53e4\u8bbe\u5907\u7684\u201c\u7075\u9b42\u201d\u3002<\/p>\n<p>\u7531Three-Body Tech\u81ea\u4e3b\u7814\u53d1\u7684APNN\uff08\u97f3\u9891\u5904\u7406\u795e\u7ecf\u7f51\u7edc\uff09\u9a71\u52a8\uff0c\u8fd9\u662f\u4e00\u79cd\u4e13\u95e8\u7528\u4e8e\u6a21\u62df\u6a21\u62df\u6548\u679c\u5904\u7406\u5668\u7684\u673a\u5668\u5b66\u4e60\u6280\u672f\u3002Deep 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\u7b80\u5355\u6765\u8bf4\uff0cAPNN\u662f\u4e00\u4e2a\u4e13\u4e3a\u97f3\u9891\u5904\u7406\u4f18\u5316\u7684\u795e\u7ecf\u7f51\u7edc\uff0c\u7531\u5927\u91cf\u97f3\u9891\u5904\u7406\u6a21\u5757\uff08\u5982\u5747\u8861\u5668\u3001\u538b\u7f29\u5668\u3001\u8fc7\u8f7d\u7b49\uff09\u7ec4\u6210\u3002<\/p>\n<p>\u4e3a\u4e86\u6355\u6349\u786c\u4ef6\u6a21\u578b\u7684\u7cbe\u9ad3\uff0cAPNN\u4f1a\u81ea\u52a8\u8c03\u6574\u5176\u7ed3\u6784\u548c\u53c2\u6570\uff0c\u76f4\u5230\u5176\u8f93\u51fa\u4e0e\u786c\u4ef6\u7684\u8f93\u51fa\u4e4b\u95f4\u7684\u5dee\u5f02\u9010\u6e10\u51cf\u5c0f\u3002<\/p>\n<p>\u6700\u7ec8\uff0cAPNN\u53ef\u4ee5\u5b9e\u73b0\u7ea6-40dB\u5230-75dB\u7684\u76f8\u4f4d\u62b5\u6d88\u8bef\u5dee\u4fe1\u53f7\uff08\u5177\u4f53\u53d6\u51b3\u4e8e\u786c\u4ef6\u6a21\u578b\uff09\u3002\u51ed\u501f\u8fd9\u79cd\u51fa\u8272\u7684\u8bef\u5dee\u63a7\u5236\u6c34\u5e73\uff0c\u751a\u81f3\u8d85\u8fc7\u4e86\u540c\u4e00\u786c\u4ef6\u6a21\u578b\u4e0d\u540c\u751f\u4ea7\u6279\u6b21\u4e4b\u95f4\u7684\u5dee\u5f02\uff0c\u6211\u4eec\u53ef\u4ee5\u81ea\u4fe1\u5730\u8bf4\uff0cAPNN\u8db3\u4ee5\u201c\u6b3a\u9a97\u201d\u4eba\u7c7b\u7684\u8033\u6735\u3002<\/p>\n<p>Brit 73 AI<br \/>\n\u7075\u611f\u6765\u81ea\u8fd9\u4e2a\u661f\u7403\u4e0a\u6700\u4f20\u5947\u7684\u524d\u7f6e\u653e\u5927\u5668\u3002\u8fd9\u6b3eA\u7c7b\u6676\u4f53\u7ba1\u524d\u7f6e\u653e\u5927\u5668\u5e26\u6709\u5747\u8861\u5668\uff0c\u5b8c\u7f8e\u5c55\u73b0\u4e86\u58f0\u97f3\u7684\u7f8e\u611f\uff0c\u63d0\u4f9b\u65e0\u4e0e\u4f26\u6bd4\u7684\u6e05\u6670\u5ea6\u3001\u5149\u6cfd\u548c\u9510\u5ea6\u3002<\/p>\n<p>[\u5f15\u7528] \u9996\u5148\uff0c\u611f\u8c22\u6240\u6709\u51b3\u5b9a\u5e2e\u52a9\u6211\u7684\u4eba\uff01\u6211\u6c38\u8fdc\u611f\u6fc0\u4e0d\u5c3d\uff01\u4f60\u4eec\u65e0\u6cd5\u60f3\u8c61\u4f60\u4eec\u9009\u62e9\u5e2e\u52a9\u4e00\u4e2a\u7f51\u7edc\u4e0a\u7684\u964c\u751f\u4eba\u5bf9\u6211\u6765\u8bf4\u6709\u591a\u91cd\u8981\u3002<\/p>\n<p>\u6709\u4eba\u95ee\u6211\u4e3a\u4ec0\u4e48\u9009\u62e9\u5728\u8bc4\u8bba\u4e2d\u9690\u85cf\u4fe1\u606f\u3002\u7b54\u6848\u5f88\u7b80\u5355\uff0c\u6211\u4e0d\u60f3\u8ba9\u8fd9\u4ef6\u4e8b\u5f71\u54cd\u53d1\u5e03\uff0c\u6211\u4ecd\u7136\u89c9\u5f97\u5411\u522b\u4eba\u5bfb\u6c42\u5e2e\u52a9\u6709\u4e9b\u5947\u602a\u3002<\/p>\n<p>\u6b63\u5982\u5728Tone Projects\u53d1\u5e03\u4e2d\u6240\u63d0\u5230\u7684\uff0c\u8fd9\u5c06\u662f\u6211\u4e00\u6bb5\u65f6\u95f4\u5185\u7684\u6700\u540e\u4e00\u6b21\u66f4\u65b0\u3002\u6211\u4f1a\u5c1d\u8bd5\u4f18\u5148\u5904\u7406\u4e00\u4e9b\u5176\u4ed6\u4e8b\u60c5\uff0c\u6574\u7406\u597d\u81ea\u5df1\u3002<\/p>\n<p>Rev1\u79fb\u9664\u65f6\u95f4\u70b8\u5f39<\/p>\n<p><\/div> <\/div> <\/div> <\/div>\n<div class=\"accordion accordion-icon accordion-bg-light\"> <div class=\"accordion-item mb-3\"> <h6 class=\"accordion-header font-base\"> <button class=\"accordion-button rounded d-inline-block collapsed\" type=\"button\" data-toggle=\"collapse\" data-target=\"#collapse-803093060\" aria-expanded=\"false\" aria-controls=\"collapse-803093060\">\u82f1\u8bed\u539f\u6587<\/button> <\/h6> <div id=\"collapse-803093060\" class=\"accordion-collapse collapse\"> <div class=\"accordion-body mt-3\"><strong>Deep Vintage<\/strong><\/p>\n<p>AI-Powered Hardware Simulation Plugin Series<\/p>\n<p>This is a machine that endeavors to pass the human-ear Turing Test,<\/p>\n<p>a deep-learning AI technology with a vintage heart.<\/p>\n<p>Deep Vintage series is a suite of plugins that simulate real hardware. Utilizing the power of AI, every Deep Vintage plugin authentically captures the true &#8216;soul&#8217; of the vintage gear.<\/p>\n<p>Powered by Three-Body Tech&#8217;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.<\/p>\n<p><strong>How is it different?<\/strong><\/p>\n<p>We have been exposed to numerous emulation technologies: physical modeling, convolution&#8230; 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.<\/p>\n<p>APNN 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 &#8216;theoretically correct modeling of circuits&#8217; nor solely based on harmonic structures or impulse responses; they capture 100% 3D feels in the analog sound.<\/p>\n<p><strong>How does it work?<\/strong><\/p>\n<p>To 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.).<\/p>\n<p>To capture the essence of a hardware model, APNN will automatically adjust its structure and parameters until the difference between its output and the hardware&#8217;s output progressively diminishes.<\/p>\n<p>Ultimately, 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 &#8216;deceiving&#8217; human ears.<\/p>\n<p><strong>Brit 73 AI<\/strong><\/p>\n<p>Inspired by the most legendary preamp on this planet. This class-A, transistor preamp with EQ epitomizes the beauty of sound, offering unparalleled clarity, sheen, and bite.<\/p>\n<p>[quote]Firstly, let me say<strong>thank you<\/strong>\u00a0to everyone who decided to help me out! I am forever grateful! You have no idea how much it means that you chose to help some rando on the internet.<\/p>\n<p>Someone asked why I decided to hide my message in the comments. The answer is simply because I did not want that to detract from the release and I still feel weird about asking for help in the first place.<\/p>\n<p>As stated in the Tone Projects release, this will be it for me for a while. I&#8217;m gonna try and prioritize some other things and get myself sorted out.<\/p>\n<p>Rev1 remove timebomb<\/p>\n<p><\/div> <\/div> <\/div> <\/div>","protected":false},"excerpt":{"rendered":"<p>&nbsp;<\/p>","protected":false},"author":3,"featured_media":14771,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[29,1,6],"tags":[1614,1080,2056,1488,2055,989,1615,139,1074,999],"series":[1487,135],"class_list":["post-14770","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-win","category-zyzx","category-rjcj","tag-ai","tag-mixing","tag-senki","tag-three-body","tag-three-body-win","tag-win","tag-1615","tag-139","tag-1074","tag-999","series-three-body","series-135"],"_links":{"self":[{"href":"https:\/\/www.linkaudio.cc\/en\/wp-json\/wp\/v2\/posts\/14770","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.linkaudio.cc\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.linkaudio.cc\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.linkaudio.cc\/en\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.linkaudio.cc\/en\/wp-json\/wp\/v2\/comments?post=14770"}],"version-history":[{"count":0,"href":"https:\/\/www.linkaudio.cc\/en\/wp-json\/wp\/v2\/posts\/14770\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.linkaudio.cc\/en\/wp-json\/wp\/v2\/media\/14771"}],"wp:attachment":[{"href":"https:\/\/www.linkaudio.cc\/en\/wp-json\/wp\/v2\/media?parent=14770"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.linkaudio.cc\/en\/wp-json\/wp\/v2\/categories?post=14770"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.linkaudio.cc\/en\/wp-json\/wp\/v2\/tags?post=14770"},{"taxonomy":"series","embeddable":true,"href":"https:\/\/www.linkaudio.cc\/en\/wp-json\/wp\/v2\/series?post=14770"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}