{"id":13100,"date":"2026-10-09T21:32:05","date_gmt":"2026-10-09T13:32:05","guid":{"rendered":"https:\/\/infernews.com\/blog\/worldsonus-real-time-interactive-spatial-audio-generation-for-videos-and-world-models\/"},"modified":"2026-10-09T21:35:14","modified_gmt":"2026-10-09T13:35:14","slug":"worldsonus-real-time-interactive-spatial-audio-generation-for-videos-and-world-models","status":"publish","type":"post","link":"https:\/\/infernews.com\/blog\/worldsonus-real-time-interactive-spatial-audio-generation-for-videos-and-world-models\/","title":{"rendered":"WorldSonus \u70ba\u5f71\u7247\u88dc\u4e0a\u53ef\u4e92\u52d5\u7acb\u9ad4\u8072\u97f3"},"content":{"rendered":"\n
\"WorldSonus<\/figure>\n\n\n\n

\u5f71\u7247\u4e2d\u7684\u8173\u6b65\u3001\u6d41\u6c34\u548c\u5217\u8eca\u8072\u53ef\u4ee5\u96a8\u756b\u9762\u8b8a\u5316\uff0c\u751a\u81f3\u5728\u751f\u6210\u9014\u4e2d\u63a5\u53d7\u65b0\u7684\u6587\u5b57\u6307\u4ee4\u3002WorldSonus \u662f\u4e00\u500b\u5f71\u7247\u8f49\u97f3\u8a0a\u6a21\u578b\uff0c\u8655\u7406\u4e16\u754c\u6a21\u578b\u548c\u4e92\u52d5\u5f71\u7247\u7f3a\u5c11\u540c\u6b65\u8072\u97f3\u7684\u554f\u984c\uff0c\u4e26\u4ee5\u6bcf 100 \u6beb\u79d2\u4e00\u6bb5\u7684\u65b9\u5f0f\u751f\u6210 48 kHz \u7acb\u9ad4\u8072\u3002<\/p>\n\n\n\n

\u5b83\u63a1\u7528 streaming causal autoregressive diffusion \u67b6\u69cb\uff0c\u8b93\u5f71\u7247\u756b\u9762\u7d93\u904e\u5169\u7a2e\u6642\u9593\u5c3a\u5ea6\u7684\u8996\u89ba token \u5f8c\uff0c\u4ea4\u7531 AR transformer \u548c rectified-flow head \u751f\u6210\u97f3\u8a0a\u3002\u751f\u6210\u6a21\u578b\u3001audio decoder\u3001normalization statistics\uff0c\u4ee5\u53ca\u51cd\u7d50\u7684 DINOv3 \u548c T5Gemma 2 \u8996\u89ba\uff0f\u6587\u5b57\u7de8\u78bc\u5668\u5206\u5de5\u5408\u4f5c\uff1b\u6587\u5b57\u63d0\u793a\u53ef\u5728 chunk \u908a\u754c\u66f4\u65b0\uff0c\u540c\u6642\u4fdd\u7559\u8072\u97f3\u9023\u7e8c\u6027\u3002<\/p>\n\n\n<\/div>\n\n\n

\u2022 \u652f\u63f4\u96e2\u7dda\u751f\u6210\u548c streaming generation\uff0c\u5169\u8005\u4f7f\u7528\u540c\u4e00\u689d\u4e09\u5e40\u751f\u6210\u8def\u5f91
\n\u2022 Visual temporal differences\u3001Ring-KV \u6b77\u53f2\u72c0\u614b\u548c causal decoder convolution states \u6703\u8de8 chunk \u4fdd\u7559
\n\u2022 \u53ef\u7528\u5f71\u7247\u52a0\u63d0\u793a\u8a5e\u63a7\u5236\u8072\u97f3\uff0c\u4e5f\u53ef\u53ea\u7528\u5f71\u7247\u4f5c\u689d\u4ef6
\n\u2022 \u8f38\u51fa\u70ba stereo 48 kHz \u97f3\u8a0a\uff0c\u7247\u6bb5\u9577\u5ea6\u6703\u6309 100 \u6beb\u79d2 chunk \u5411\u4e0b\u53d6\u6574<\/p>\n\n\n\n

\u7814\u7a76\u7d50\u679c\u7d66\u51fa\u7684 real-time factor (RTF) \u662f 0.41\uff0c\u4e26\u5728\u958b\u653e\u9818\u57df video-to-audio benchmark \u4e2d\u9054\u5230\u6216\u8d85\u8d8a\u90e8\u5206\u96d9\u5411\u6a21\u578b\u7684\u8072\u5b78\u8cea\u7d20\u548c\u7a7a\u9593\u5c0d\u9f4a\u8868\u73fe\u3002\u4e0d\u904e\u53c3\u8003\u5be6\u4f5c\u6c92\u6709\u627f\u8afe\u56fa\u5b9a\u5ef6\u9072\uff0c\u6a21\u578b\u548c\u7de8\u78bc\u5668\u4ea6\u8981\u5728\u4e32\u6d41\u958b\u59cb\u524d\u8f09\u5165\uff0c\u4e0d\u80fd\u76f4\u63a5\u628a RTF \u7576\u6210\u4f7f\u7528\u8005\u5fc5\u7136\u53d6\u5f97\u7684\u7aef\u5230\u7aef\u5ef6\u9072\u3002<\/p>\n\n\n\n

\u6e2c\u8a66\u9700\u8981 Python 3.10 \u6216\u4ee5\u4e0a\u3001\u652f\u63f4 CUDA \u7684 GPU\u3001FFmpeg \u548c ffprobe\uff0cGPU \u9a45\u52d5\u7a0b\u5f0f\u8981\u9810\u5148\u5b89\u88dd\uff1b\u8a2d\u5b9a\u7a0b\u5e8f\u6703\u5b89\u88dd CUDA 12.4 \u7684 PyTorch wheels\u3002\u6a21\u578b\u6b0a\u91cd\u548c\u7de8\u78bc\u5668\u53ef\u5f9e Hugging Face \u4e0b\u8f09\uff0c\u9069\u5408\u7814\u7a76\u4e16\u754c\u6a21\u578b\u3001\u5f71\u7247\u751f\u6210\u3001\u4e92\u52d5\u6a21\u64ec\u6216\u9700\u8981\u7a7a\u9593\u8072\u97f3\u7684\u5167\u5bb9\u88fd\u4f5c\u5718\u968a\uff0c\u4f46\u786c\u4ef6\u8981\u6c42\u548c\u4e0a\u6e38\u6a21\u578b\u7684\u6388\u6b0a\uff0f\u5b58\u53d6\u689d\u4ef6\u4ecd\u9700\u5148\u6838\u5c0d\u3002<\/p>\n\n\n\n

\u9805\u76ee\u4e3b\u9801<\/strong><\/a> \u00b7 GitHub<\/strong><\/a> \u00b7 \u6a21\u578b<\/strong><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

WorldSonus \u5c07\u5f71\u7247\u52d5\u614b\u3001\u6587\u5b57\u6307\u4ee4\u548c\u7acb\u9ad4\u8072\u97f3\u540c\u6b65\u8d77\u4f86\uff0c\u8b93\u4e16\u754c\u6a21\u578b\u751f\u6210\u7684\u756b\u9762\u4e0d\u518d\u53ea\u6709\u7121\u8072\u5834\u666f\u3002<\/p>\n","protected":false},"author":8,"featured_media":13099,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"wpai_generated_summary":"","wpai_meta_description":"","footnotes":""},"categories":[133,165,162,76,186,179,140,31,29,161,163,152,199],"tags":[],"class_list":["post-13100","post","type-post","status-publish","format-standard","hentry","category-133","category-165","category-ai-productions","category-76","category-186","category-nvidia","category-gemini","category-video","category-audio","category-161","category-163","category-python","category-dataset-"],"_links":{"self":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/posts\/13100","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/comments?post=13100"}],"version-history":[{"count":2,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/posts\/13100\/revisions"}],"predecessor-version":[{"id":13104,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/posts\/13100\/revisions\/13104"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/media\/13099"}],"wp:attachment":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/media?parent=13100"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/categories?post=13100"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/tags?post=13100"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}