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Gemini 3.1 TTS Audio Tags: Fine-Grained Voice Synthesis Control

Google AI released Gemini 3.1 TTS with a new audio tags feature enabling fine-grained control over voice synthesis through square bracket syntax. Audio tags support three categories of control: vocal styles (e.g., [screams], [whispers], [cackles], [laughs]), pacing (e.g., [slow], [fast]), and strategic pauses (e.g., [short pause], [long pause]). Tags must be enclosed in square brackets and positioned inline where the desired effect should occur, with a constraint against placing tags adjacently. This is a prompt-based control mechanism allowing developers to guide TTS output directly through text prompts without separate API configuration. The feature appears designed for applications requiring expressive voice synthesis such as language learning tools, interactive podcasts, and adaptive customer service.

Google AIThursday, April 23, 2026Original source

Gemini 3.1 TTS Audio Tags: Fine-Grained Voice Synthesis Control

Summary

Gemini 3.1 TTS introduces prompt-based audio tags enabling developers to control vocal expression, pacing, and strategic pauses through inline square bracket syntax. This text-prompt approach eliminates the need for separate API configuration, though practical constraints include tag adjacency restrictions and limited transparency into underlying model capabilities.

Integration Strategy

When to Use This?

The audio tag system is well-suited for applications requiring:

  • Language Learning Tools: Dynamic tutoring with varied pacing and encouraging tonal shifts to maintain learner engagement
  • Interactive Podcasts: Scripted audio experiences with dramatic pauses, tonal variation, and natural-sounding dialogue
  • Adaptive Customer Service: TTS responses that adjust tone based on context (friendly for casual queries, scholarly for technical support)
  • Audiobook Narration: Automated reading with expressive markers for different character voices or narrative beats
  • Accessibility Applications: Content read with appropriate emotional tone and pacing for enhanced comprehension

How to Integrate?

Immediate Integration Path: Since audio tags are embedded directly in text prompts, integration requires minimal API restructuring. Existing Gemini TTS implementations likely need only text prompt modifications to leverage the new syntax.

Best Practices from Documentation:

  • Use contextual style tags ([encouraging], [friendly]) at sentence or paragraph boundaries for overall tonal direction
  • Insert pacing tags ([slow], [fast]) before specific phrases requiring tempo adjustment
  • Place pause markers at natural linguistic break points to enhance dramatic effect
  • Avoid chaining tags directly; ensure text content separates adjacent markers

Migration Consideration: Applications currently using separate API calls or parameter passing for vocal characteristics can gradually transition to the inline tag approach for simplified prompt management.

Compatibility

Confirmed Platform Support:

  • Gemini API (3.1 TTS models)

Not Specified (information not publicly available):

  • Minimum API version requirements
  • Specific SDK language support
  • Regional availability
  • Rate limits for audio tag usage
  • Compatibility with previous Gemini TTS model versions

Source: @GoogleAI Reference: Official Google AI announcement video and documentation Published: 2025 DevRadar Analysis Date: 2026-04-23