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Google DeepMind更新于 10月10日 11:24

Gemini 3.5 Live Translate 发布,支持 70 多种语言近实时语音互译

Gemini 3.5 Live Translate is here

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Google DeepMind 发布 Gemini 3.5 Live Translate,可自动识别 70 多种语言并持续生成近实时译音,同时保留说话者的语调、节奏和音高。该模型仅落后说话者数秒,支持嘈杂环境和多语言输入。它正向 Android、iOS 版 Google Translate 全球推送,Google Meet 将于本月面向部分企业 Workspace 客户开启私密预览。

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原文说明了连续语音翻译的延迟取舍、语言覆盖与产品开放路径,可用于评估实时跨语言场景的部署价值。

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当前显示原文,中文全文译文尚未就绪。

Jun 09, 2026

Gemini 3.5 Live Translate is our latest audio model, delivering near real-time speech-to-speech translation in over 70 languages.

Senior Staff Software Engineer

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Twenty years ago, translation at Google began as one of our pioneering machine learning experiments to turn the science of language into the magic of human connection. That experiment has come a long way with over a trillion words being translated for billions of users across our products every month.

Today, we’re taking our next step with the release of Gemini 3.5 Live Translate, our latest audio model for live speech-to-speech translation.

The model automatically detects 70+ languages and generates smooth, natural-sounding translated speech that preserves the speakers' intonation, pacing and pitch. Unlike turn by turn systems that wait for the speaker to finish speaking before responding, 3.5 Live Translate generates speech continuously, balancing the trade-off between waiting for context to improve quality and translating immediately to stay in sync with the speaker. It delivers fluid audio without awkward pauses and stays just a few seconds behind the speaker throughout the session.

Gemini 3.5 Live Translate is rolling out starting today across Google products:

Gemini 3.5 Live Translate processes speech as it’s streamed, enabling a more seamless connection across languages. The model handles multilingual inputs without the need to manually configure settings. At the same time, its noise robustness ensures applications can handle loud, unpredictable environments. You can use its capabilities to help facilitate live interpretation for multilingual calls, meetings, lessons, broadcasts and more.

Watch the Gemini Live API in action, enabling dubbing and simultaneous multi-language translation. Dive into the demo or more example code in the Gemini Cookbook.

By utilizing the Gemini Live API, developer platforms like Agora , Fishjam , LiveKit , Pipecat , and Vision Agents enable developers to build and deploy voice translation apps with ease. These integrations handle the complex real-time media streaming infrastructure, so developers can focus on the user experience.

Our partners at Grab are testing the model to enable multilingual communication in near real-time between drivers and travelers at pickups. These users make over 10 million voice calls per month through Grab.

In addition to Grab, companies like CJ ENM, LiveKit and others have shared positive feedback on 3.5 Live Translate highlighting its impressive translation quality, accuracy and low latency:

Speech translation in Google Meet will soon use 3.5 Live Translate, improving the experience by:

We’re launching this update in private preview for select business Google Workspace customers starting this month, followed by a broader rollout later this year.

The model is also rolling out on the Google Translate app globally, on both Android and iOS . When using the Live translate feature, simply connect any pair of headphones to experience a more seamless translation that mirrors the speaker’s tone across 70+ languages.

For Android users, we’re also starting to roll out a new ‘listening mode’ with 3.5 Live Translate that lets you hear translations directly through your phone’s earpiece. Simply hold your phone to your ear just like a regular call, and the translated audio streams straight to you. This new experience can be helpful in situations where you want to quickly hear translations without others hearing, and you don’t have your headphones handy.

Using the new listening mode, users can hear a near real-time English translation of a guided tour in Spanish directly through their phone's earpiece.

All audio generated by our models is watermarked with SynthID. This imperceptible watermark is woven directly into the audio output, ensuring AI-generated content remains detectable to help prevent misinformation. For details on our approach to safety and responsibility, review the model card .

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Google DeepMind