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Details
- Google DeepMind announced Gemini 3.1 Flash TTS, their most controllable text-to-speech model, featuring new Audio Tags for directing vocal style, delivery, and pace via text commands.
- Key improvements include more natural-sounding speech, support for over 70 languages such as Hindi, Japanese, and German, and SynthID watermarking on all outputs.
- Availability: Developers can preview via Gemini API and Google AI Studio; enterprise users get it rolling out in preview on Vertex AI; general users via Google Vids.
- Audio Tags enable precise control over speech attributes without complex training, simplifying customization for apps and content creation.
- Builds on Gemini 3 series advancements in multimodal capabilities, with Vertex AI supporting text, images, video, and code inputs for prototyping.
- Official details linked in announcement for deeper technical specs and demos.
Impact
Gemini 3.1 Flash TTS advances Google's AI toolkit with granular TTS control, pressuring rivals like OpenAI's Voice Engine and ElevenLabs by integrating natively into developer-friendly platforms like Gemini API and Vertex AI. Supporting 70+ languages broadens global access, potentially accelerating adoption in multilingual apps and lowering barriers for non-English markets. SynthID watermarking aligns with emerging AI safety standards, enhancing traceability amid regulatory pushes for content authenticity. This positions DeepMind to capture more enterprise workflows, narrowing the gap with specialized TTS leaders through ecosystem integration.
