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Google DeepMind 发布 Gemini 3.8 Flash TTS 与 Flash-Lite TTS 语音生成模型

Google DeepMind:Blog(RSS) 2026-09-24 03:55 复制原文 已复制
Google DeepMind 发布 Gemini 3.8 Flash TTS 和 Gemini 3.8 Flash-Lite TTS 两款文本转语音模型,支持用自然语言提示词从零设计声音、30 秒样本复刻声音,并提供逐

官方介绍了两款 TTS 模型的能力细节、评测名次和开放入口,开发者可以据此评估语音生成工作流的选型。

Google DeepMind 发布 Gemini 3.8 Flash TTS 和 Gemini 3.8 Flash-Lite TTS 两款文本转语音模型,支持用自然语言提示词从零设计声音、30 秒样本复刻声音,并提供逐行表演指导、长时音频生成和双说话人场景编排,覆盖 100 多种语言。

Gemini 3.8 Flash TTS 和 Gemini 3.8 Flash-Lite TTS 是我们迄今最具表现力的音频生成模型。可在 Google AI Studio、Gemini API、Gemini Enterprise、Gemini Notebook 和 Google Vids 中生成自定义角色语音并指导场景对话。

Leland Rechis

Alan Cowen

研究科学总监,代表 Gemini Audio 团队

今天,我们为 Gemini 家族推出两款全新的文本转语音模型,将语音生成从静态预设转变为动态创意工作室。这些模型让创作者、开发者和企业能够打造更丰富、更具表现力的音频体验,同时为 Gemini Notebook 和 Google Vids 等产品带来更出色的用户体验。

这些模型补充了我们快速壮大的 Gemini Audio 家族,此前已推出 3.5 Live Translate、3.5 Transcribe、3.8 Live 和 3.8 Live Extended Thinking。

从 30 种原创声音扩展到无限的声音库。无论你需要一个完全原创的角色声音,还是一个保持一致的品牌代言人声音,我们的 3.8 Flash TTS 模型都能驱动一整套声音工作室。这让你能够为每一个时刻创建并使用富有表现力、听起来自然的声音,同时赋能开发者和企业轻松构建自定义音频体验。

听听 Gemini 3.8 Flash TTS 如何生成一位来自墨尔本、充满活力的 DJ 声音。

听听 Gemini 3.8 Flash TTS 如何生成一个极其单薄、单调的机器人声音。

听听 Gemini 3.8 Flash TTS 如何让一条日本龙栩栩如生。

选定语音后,两个 TTS 模型都能让你精确控制每一行的表达方式。

聆听 Gemini 3.8 Flash TTS 如何为交互式语音智能体实现自然、极具表现力的对话。

观看并聆听 Gemini 3.8 Flash TTS 如何利用精细的脚本控制,打造深度沉浸、引人入胜的音频体验。

了解 Gemini 3.8 Flash TTS 如何从零开始将自然语言提示词转化为定制的语音人设。

观看 Gemini 3.8 Flash TTS 如何让创作者设计自定义场景,将动画对话生动呈现。

看看 Gemini 3.8 Flash TTS 如何将脚本转化为完整演绎的对话场景,让创作者能够指导语音表达,并实现自然的轮流对话。

Gemini 3.8 Flash TTS 提供领先的语音定制能力,在 Hume AI 的语音设计基准测试中夺得总分第一(71.4),并在口音建模方面同样领先(60.8)。

Gemini 3.8 Flash TTS 和 Gemini 3.8 Flash-Lite TTS 能够实现真正富有表现力的演绎,同时不牺牲可靠性,并分别在 Hume AI 的总体质量指数中夺得第一和第二名。与 Gemini 3.1 Flash TTS 相比,该模型在长篇内容和双人剧本控制等广泛用例上展现出重大改进。

在 Voice Arena 的盲测人类偏好评估中,Gemini 3.8 Flash 和 Flash-Lite TTS 在日语、巴西葡萄牙语、越南语、现代标准阿拉伯语(MSA)、墨西哥西班牙语和印地语等关键全球语言中,于竞争对手之间占据领先位置。这些模型支持超过 100 种语言,赋能创作者、开发者和企业,在全球范围内构建高质量的多语言语音体验。

我们在构建语音创建与复刻能力时,配备了严格的防护措施,以帮助保护配音人才、尊重身份,并确保内容透明度。对于语音复刻,我们的系统采用同意验证机制:用户必须提供一段来自声音所有者的口头同意录音,且该录音需与参考说话人匹配,之后才能创建语音。

更广泛地说,我们的 Gemini Audio 模型生成的每一段音频片段都带有 SynthID 水印。这种不可感知的水印被直接织入音频输出之中,确保 AI 生成的语音始终可被检测,从而帮助防止虚假信息。如需进一步了解我们在安全与责任方面的做法,请查阅 模型卡。

从今天起,开发者可以体验这些全新的语音生成能力,在Google AI Studio中。它被打造为一个语音设计工作区,你可以从零开始通过提示词创造全新的声音身份,或复刻你自己的声音1,然后将它们直接带入双说话人剧本编辑器,逐行指导语音的表达方式。

在 Google AI Studio 中试用语音复刻。

通过使用 Gemini API,Agora、LiveKit、Pipecat、Vercel 等开发者平台让开发者能够轻松构建和部署高性能的语音生成体验。

我们正与 Figma、HeyGen、Linguana、Wondercraft、99.co 和 Ollang 等公司合作,它们正在集成我们最新的 TTS 模型,以帮助加速全球配音、以细腻的地区口音本地化媒体内容,并大规模驱动对话式语音智能体。

Gemini 3.8 Flash TTS 从今天起开始推送:

Gemini 3.8 Flash-Lite TTS 从今天起开始推送:

Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS are our most expressive audio generation models yet. Generate custom character voices and direct scene dialogue across Google AI Studio, Gemini API, Gemini Enterprise, Gemini Notebook, and Google Vids.

Group Product Manager

Director, Research Science, on Behalf of the Gemini Audio Team

Today, we’re introducing two new text-to-speech models to the Gemini family, transforming voice generation from static presets into a dynamic creative studio. These models enable creators, developers, and enterprises to create richer, more expressive audio experiences, while enabling improved user experiences in products like Gemini Notebook and Google Vids.

These models complement our fast-growing Gemini Audio family, following 3.5 Live Translate, 3.5 Transcribe, 3.8 Live, and 3.8 Live Extended Thinking.

Scale up from 30 original voices to an infinite library. Whether you need an entirely original character voice or a consistent brand ambassador, our 3.8 Flash TTS model powers a full vocal studio. This enables you to create and use expressive, natural-sounding voices for every moment, while empowering developers and enterprises to easily build custom audio experiences.

Hear how Gemini 3.8 Flash TTS generates a high-energy DJ voice from Melbourne.

Hear how Gemini 3.8 Flash TTS generates a super-tinny, monotone robot voice.

Hear how Gemini 3.8 Flash TTS brings a Japanese dragon to life.

Once you've selected your voices, both TTS models give you precise control over how each line is delivered.

Hear how Gemini 3.8 Flash TTS enables natural, highly expressive conversations for interactive voice agents.

Watch and hear how Gemini 3.8 Flash TTS uses granular script control to build a deeply engaging, immersive audio experience.

See how Gemini 3.8 Flash TTS turns natural language prompts into bespoke vocal personas from scratch.

Watch how Gemini 3.8 Flash TTS enables creators to design custom scenes to bring animated dialogue to life.

See how Gemini 3.8 Flash TTS turns scripts into fully performed dialogue scenes, letting creators direct vocal delivery, and natural turn-taking.

Gemini 3.8 Flash TTS delivers leading voice customization capabilities, securing the #1 overall spot on Hume AI’s Voice Design Benchmark (71.4) and also leading in accent modeling (60.8).

Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS enable truly expressive performances without sacrificing reliability, also securing the #1 and #2 spots respectively on Hume AI’s Overall Quality Index. The model shows major improvements on a wide range of use cases such as long-form content and dual-speaker screenplay control compared to Gemini 3.1 Flash TTS.

In blind human preference evaluations on Voice Arena, Gemini 3.8 Flash and Flash-Lite TTS secure top positions amongst competitors in key global languages, including Japanese, Brazilian Portuguese, Vietnamese, Modern Standard Arabic (MSA), Mexican Spanish and Hindi. With support for over 100 languages, these models empower creators, developers, and enterprises to build high-quality, multilingual voice experiences worldwide.

We built our voice creation and replication capabilities with strict safeguards to help protect voice talent, respect identity, and ensure content transparency. For voice replication our system leverages consent verification: users must provide a verbal consent recording from the voice owner that matches the reference speaker before a voice can be created.

More broadly, every audio clip generated by our Gemini Audio models is watermarked with SynthID. This imperceptible watermark is woven directly into the audio output, ensuring AI-generated speech remains detectable to help prevent misinformation. For more details on our approach to safety and responsibility, review the model card.

Starting today, developers can experience these new speech generation capabilities in Google AI Studio. Built like a voice design workspace, you can prompt entirely new vocal identities from scratch or replicate your own voice 1 , then bring them directly into a dual-speaker screenplay editor to direct line-by-line delivery.

Try voice replication in Google AI Studio.

By using the Gemini API, developer platforms such as Agora, LiveKit, Pipecat, Vercel enable developers to build and deploy high-performance speech generation experiences with ease.

We’re partnering with companies like Figma, HeyGen, Linguana, Wondercraft, 99.co, and Ollang, who are integrating our latest TTS models to help accelerate global dubbing, localize media with nuanced regional accents, and power conversational voice agents at scale.

Gemini 3.8 Flash TTS is rolling out starting today:

Gemini 3.8 Flash-Lite TTS is rolling out starting today:

来源:Google DeepMind:Blog(RSS)· deepmind.google

配图

Google DeepMind 发布 Gemini 3.8 Flash TTS 与 Flash-Lite TTS 语音生成模型
Google DeepMind 发布 Gemini 3.8 Flash TTS 与 Flash-Lite TTS 语音生成模型
Google DeepMind 发布 Gemini 3.8 Flash TTS 与 Flash-Lite TTS 语音生成模型
Google DeepMind 发布 Gemini 3.8 Flash TTS 与 Flash-Lite TTS 语音生成模型
Google DeepMind 发布 Gemini 3.8 Flash TTS 与 Flash-Lite TTS 语音生成模型