How to steer Gemini 3.1 TTS delivery with inline audio tags
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Last week, we launched Gemini 3.1 TTS, our latest and best text-to-speech model. This new model introduces [awe] audio tags, an intuitive way to guide vocal style, pace, and delivery. Here are some tips on the best ways to use audio tags in your prompts: 1. All inline tags must be enclosed in square brackets, such as [screams] or [whispers] 2. Insert these tags exactly where you want the transition to occur and make sure to avoid placing tags directly next to each other 3. Use tags like [slow] or [fast] to control the pace of the delivery, or even [short pause] or [long pause] to ramp up the anticipation in dramatic moments 4. The model also offers granular control over vocalizations, allowing you to direct the delivery with cues like [cackles] or [whispers] 5. An ideal audio tag formula could look something like: [encouraging] Let’s try that last sentence again to make sure that you nailed it. [slow] "L'oiseau s'est envolé." [short pause] Perfect! [laughs] You're a natural. No matter what you’re developing — from [scholarly] a language learning tool, to [mysterious] an interactive podcast app, to [friendly] more adaptive customer service offerings, and beyond — these…
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Gemini 3.1 TTS lets a script specify where its spoken delivery should change. In Google AI's prompting guidance, an audio tag is a short instruction enclosed in square brackets and inserted at the desired transition. Tags can request slower speech, a pause or a vocalization such as laughter; the guidance advises against placing tags directly beside one another.
The guidance follows the audio-tag launch, and its useful technique is to attach direction to the relevant passage. In its own example, a language-learning script marks a slowed delivery for a French phrase being practiced and a pause before the encouraging reaction.
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