[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-slug-gemini-3-5-live-translate-streaming":3,"news-related-e4497b0e-8295-46e8-b395-5f29a19ff26c":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},"e4497b0e-8295-46e8-b395-5f29a19ff26c","Gemini 3.5 Live Translate：当语音翻译告别「回合制」","6月9日,Google 正式推出 Gemini 3.5 Live Translate,一款实时语音到语音翻译的音频模型。它脱胎于 Gemini 3 Pro 架构,音频输入支持 128K token 上下文,输出同时给出文本和语音,上限 64K token。最关键的是它\"边说边译\"的并发流式推理方式——传统同传系统必须等说话人停顿,再整段翻译输出,节奏一卡一卡;而 Live Translate 用连续流处理,把延迟压到几秒以内,同时保留说话人的语调、语速和音高。\n\n\"流式语音翻译\"并非新概念。Google Translate 多年前就有演示,过去需依赖 Pixel Buds 配合 Android;去年底模型驱动的实时翻译才推广到任意耳机和 iOS。但那时延迟和音色还原度都还停留在\"勉强能用\"。3.5 Live Translate 的分水岭在于三个评估维度同步提升:翻译质量用 AutoMQM 错误分类自动打分;延迟同时测首字延迟和词级延迟;语音自然度则用专门的 TTS 指标。三者一起把\"实时翻译\"从演示带向了生产。\n\n值得玩味的,是 Google 的产品形态。它不是藏在 Google Translate 里的开关,而是 Gemini Live API 里独立可调的模型——开发者可借此构建同声传译、多语种电话转接、跨国直播字幕这类 B 端场景。Google Meet 企业内测先于 To C 铺开,紧接着才是 Android\u002FiOS 端 Translate 的全面推送。这种\"先开发者、后企业、再大众\"的节奏,反映出 Google 对 API 生态变现的押注。\n\n横向看,5 月阿里 Qwen 推出 Qwen3.5-LiveTranslate-Flash、Tencent 混元开源 Hy-MT2、Sakana AI 发布 KAME 级联架构,语音翻译已成大模型厂商的标配战场。Gemini 3.5 Live Translate 的差异化不再是\"能不能做\",而是谁能把延迟、音色、多语种噪声鲁棒性同时做到商用级别。下一步竞赛,将是终端芯片的推理优化——把这样的大模型塞进耳机和手机里,才是真正的硬骨头。","https:\u002F\u002Fblog.google\u002Finnovation-and-ai\u002Fmodels-and-research\u002Fgemini-models\u002Fgemini-live-3-5-translate\u002F","4d11edad-2df6-45f6-b71f-70f65de7f7fd",[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},"499f4b56-819d-49a3-9609-33e775143b86","multimodal",[24],{"id":25,"lang":26,"title":27,"summary":28,"content":13},"5754dd66-4c0c-413e-a1d6-3512754c4332","en","Gemini 3.5 Live Translate: voice translation goes duplex","On June 9 Google officially launched Gemini 3.5 Live Translate, a real-time speech-to-speech translation audio model. It stems from the Gemini 3 Pro architecture, with audio input supporting 128K token context, and output delivering both text and speech simultaneously, up to 64K tokens. The most critical thing is its \"translate as they speak\" concurrent streaming inference method — traditional simultaneous interpretation systems must wait for the speaker to pause, then translate the whole segment before outputting, with a halting rhythm; Live Translate uses continuous stream processing, compressing latency to within a few seconds while preserving the speaker's tone, speaking speed, and pitch.\n\n\"Streaming voice translation\" is not a new concept. Google Translate had demos years ago, requiring Pixel Buds paired with Android; only late last year did model-driven real-time translation extend to any earphones and iOS. But at that time, latency and tone restoration were still at the \"barely usable\" stage. 3.5 Live Translate's watershed is the simultaneous improvement across three evaluation dimensions: translation quality scored automatically by AutoMQM error classification; latency measured by both first-character latency and word-level latency; speech naturalness uses dedicated TTS metrics. Together they take \"real-time translation\" from demo to production.\n\nThe product form is worth pondering. It is not a switch hidden in Google Translate, but a standalone tunable model in the Gemini Live API — developers can build B-end scenarios like simultaneous interpretation, multilingual call transfer, and cross-border live subtitling. Google Meet's enterprise internal test rolled out before To C, followed by the full rollout of Translate on Android\u002FiOS. This \"developers first, enterprises next, then the masses\" rhythm reflects Google's bet on API ecosystem monetization.\n\nHorizontally, in May Alibaba Qwen released Qwen3.5-LiveTranslate-Flash, Tencent Hunyuan open-sourced Hy-MT2, Sakana AI released the KAME cascade architecture, and voice translation has become a standard battleground for the major model vendors. Gemini 3.5 Live Translate's differentiation is no longer \"can it be done,\" but who can take latency, tone, and multilingual noise robustness to commercial grade at the same time. The next competition will be inference optimization for terminal chips — packing a model this large into earphones and phones is the real hard part.","gemini-3-5-live-translate-streaming","2026-06-10T00:00:00Z","2026-06-10T00:09:17.417978Z","2026-08-19T02:08:40.142862Z",true,"agent",111,{"items":37},[38,43,48,53,58,63],{"id":39,"title":40,"news_slug":41,"published_at":42},"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":44,"title":45,"news_slug":46,"published_at":47},"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":49,"title":50,"news_slug":51,"published_at":52},"34edaffc-6b5c-4df1-9e2f-d864cada6063","Gemini 走进 K-12 课堂：Google 把「上下文」塞进每个作业","gemini-classroom-k12-contextualized-prompts","2026-08-07T02:00:00+00:00",{"id":54,"title":55,"news_slug":56,"published_at":57},"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":59,"title":60,"news_slug":61,"published_at":62},"03148cbf-c932-48d8-b99b-9132a30fb6cd","Nano Banana 2 Lite 与 Gemini Omni Flash 同日上线:Google 多模态 API 进入分层工业化阶段","nano-banana-2-lite","2026-07-01T02:00:00+00:00",{"id":64,"title":65,"news_slug":66,"published_at":67},"a4201ba3-a84a-4711-a6b6-6436d121a122","Gemini 3.1 Ultra 发布：200万 token 上下文将 RAG 推下神坛","gemini-3-1-ultra-2m-context-rag-pushed","2026-06-02T06:01:00+00:00"]