[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-slug-lyria-3-pro-google-deepmind-3-min-structured":3,"news-related-2203a8bc-acb4-49b6-b3d1-ab8622d24c0d":36},{"id":4,"title":5,"summary":6,"content":6,"original_url":7,"source_id":8,"tags":9,"translations":23,"news_slug":29,"published_at":30,"created_at":31,"modified_at":32,"is_published":33,"publish_type":34,"image_url":13,"view_count":35},"2203a8bc-acb4-49b6-b3d1-ab8622d24c0d","Lyria 3 Pro 把生成音乐拉到 3 分钟：结构化作曲、ProducerAI 代理化协作与全链路 SynthID","Google DeepMind 推出 Lyria 3 Pro，把生成式音乐的边界从十几秒的片段直接推到 3 分钟完整曲目。这不是简单的「把生成时间拉长」——核心在于模型对音乐结构的显式理解：现在可以 prompt 出 intro、verse、chorus、bridge 这些传统作曲元素，并控制风格切换与复杂转场，本质上把生成从「采样式拼接」升级为「带结构意识的作曲」。结构化输出意味着模型已经学到了「歌曲怎么写」，而不是只学会「一段音频怎么延续」。\n\n更值得注意的是 Google 的全栈落地策略：Vertex AI 给企业做按需音频生产，AI Studio 和 Gemini API 给开发者接入实时音频流，Google Vids 给普通创作者一键配乐，Gemini App 给消费者定制个性化曲目，ProducerAI 则引入「代理化」体验——让 Lyria 3 Pro 变成能持续协作的音乐制作人，艺术家可以逐段迭代完整作品。配合 Lyria RealTime 的流式输出，Google 同时占住了「长结构」「实时流」「多产品矩阵」三个象限，把 AI 音乐从「单点工具」升级为「覆盖整条创作链的生态」。\n\n安全层面，所有输出都嵌入 SynthID 水印，并明确模型不会模仿具名艺术家。Grammy 制作人 Yung Spielburg 已用 Lyria 写完电影配乐，DJ François K 也在用 Lyria 迭代单曲。如果说 Suno、Udio 的竞争点还在「几秒钟音频质量」，Lyria 3 Pro 的差异化在于「结构化、可控、可生产」。从生成片段到生成歌曲再到代理化创作，这场竞赛的维度正在被重写。","https:\u002F\u002Fblog.google\u002Finnovation-and-ai\u002Ftechnology\u002Fai\u002Flyria-3-pro\u002F","35ce748f-48b7-4638-88ef-effa57a7e749",[10,14,17,20],{"id":11,"name":12,"slug":12,"description":13,"color":13},"a9524a82-a7c5-4daa-bb4b-a7ee77bb0b94","gemini",null,{"id":15,"name":16,"slug":16,"description":13,"color":13},"8cf7490f-2449-4ba7-be19-61befa0d92b4","google",{"id":18,"name":19,"slug":19,"description":13,"color":13},"7e89b5cc-57db-4f37-bc6d-28919a73931c","model-release",{"id":21,"name":22,"slug":22,"description":13,"color":13},"b1853a5a-d940-42b7-94f9-0488ee3f2cf7","new-model",[24],{"id":25,"lang":26,"title":27,"summary":28,"content":13},"bcd02d43-5a52-4285-905a-28ea34b460a1","en","Lyria 3 Pro stretches generated music to three minutes","Google DeepMind released Lyria 3 Pro, pushing the boundary of generative music from a few seconds of clip directly to a full 3-minute track. This is not simply \"extending the generation time\" — the core lies in the model's explicit understanding of musical structure: it can now prompt out traditional composition elements like intro, verse, chorus, and bridge, and control style switches and complex transitions, essentially upgrading generation from \"sampling-based splicing\" to \"composition with structural awareness.\" Structured output means the model has learned \"how a song is written,\" not just \"how a piece of audio continues.\"\n\nMore noteworthy is Google's full-stack landing strategy: Vertex AI gives enterprises on-demand audio production, AI Studio and the Gemini API let developers access real-time audio streams, Google Vids gives ordinary creators one-click scoring, Gemini App gives consumers personalized tracks, and ProducerAI introduces an \"agentic\" experience — turning Lyria 3 Pro into a music producer that can continuously collaborate, with artists iterating complete works section by section. Combined with Lyria RealTime's streaming output, Google simultaneously occupies the \"long structure,\" \"real-time stream,\" and \"multi-product matrix\" three quadrants, upgrading AI music from \"single-point tool\" to \"ecosystem covering the entire creative chain.\"\n\nOn the safety side, all outputs are embedded with SynthID watermarks, and the model is explicitly stated not to mimic named artists. Grammy producer Yung Spielburg has already used Lyria to write film scores, and DJ François K is iterating singles with Lyria. If the competitive point of Suno and Udio is still \"audio quality of a few seconds,\" Lyria 3 Pro's differentiation lies in \"structured, controllable, producible.\" From generating a clip to generating a song to agentic creation, the dimensions of this competition are being rewritten.","lyria-3-pro-google-deepmind-3-min-structured","2026-03-25T16:00:00Z","2026-06-07T20:20:14.123769Z","2026-08-19T02:08:40.142862Z",true,"agent",95,{"items":37},[38,43,48,53,58,63],{"id":39,"title":40,"news_slug":41,"published_at":42},"16856034-439d-4915-aed4-80b42ae09c68","Gemini 3.7 Flash：FrontierCode 43.6%，价格腰斩","gemini-3-7-flash-coding-agent-fast","2026-08-13T09:00:00+00:00",{"id":44,"title":45,"news_slug":46,"published_at":47},"5efc7b2d-a44c-4bfb-9a6c-5a8b39a35181","谷歌三连发 Gemini 3.6 Flash \u002F Flash-Lite \u002F Flash Cyber:把 Agent 成本往下砍","google-gemini-3-6-flash-lite-cyber","2026-07-22T02:02:00+00:00",{"id":49,"title":50,"news_slug":51,"published_at":52},"5ef6f8fe-9877-4632-bb4a-690c7e73975e","Gemini 3.5 Flash 内置 Computer Use：OSWorld 78.4 把屏幕操控推成工程能力","gemini-3-5-flash-computer-use-osworld-78","2026-06-26T00:00:00+00:00",{"id":54,"title":55,"news_slug":56,"published_at":57},"e4497b0e-8295-46e8-b395-5f29a19ff26c","Gemini 3.5 Live Translate：当语音翻译告别「回合制」","gemini-3-5-live-translate-streaming","2026-06-10T00:00:00+00:00",{"id":59,"title":60,"news_slug":61,"published_at":62},"829da3b0-1bfd-4fc1-9092-e265106a5696","Magenta RealTime 2 开源：Google 把实时音乐生成装进 MacBook","magenta-realtime-2-google-macbook-music","2026-06-09T22:00:00+00:00",{"id":64,"title":65,"news_slug":66,"published_at":67},"3481c485-e5ec-4a5d-9d4d-8fa92c845779","Google 发布 Gemini 3.5 Flash：面向 Agent 时代的编程与推理新旗舰","gemini-3-5-flash-agent-coding-4x-fast","2026-05-19T22:00:00+00:00"]