Google DeepMind Releases Gemini 3.1 Flash TTS Supporting Granular Speech Control Across Seventy Languages
Google DeepMind recently introduced Gemini 3.1 Flash TTS, an advanced text-to-speech model now integrated into Google AI Studio, Vertex AI, and Google Vids. This new release prioritizes expressive control by implementing audio tags that allow developers to adjust vocal styles and speech rates using natural language commands. The model supports over 70 languages, providing a versatile platform for generating high-quality synthetic voices globally. For engineering teams, this update facilitates more nuanced audio generation for applications ranging from gaming narratives to localized e-learning content. The architecture focuses on natural resonance and emotional inflection, moving beyond the flat delivery often associated with legacy synthesis models. Security and provenance are addressed through the integration of SynthID, which applies digital watermarking to all generated audio outputs. This measure helps in identifying AI-generated content and mitigating the risks of misinformation. Developers are encouraged to adopt these tools responsibly while exploring the new creative possibilities enabled by enhanced vocal flexibility.
Comparison
| Aspect | Before / Alternative | After / This |
|---|---|---|
| Language Support | Limited multilingual capabilities | Supports over 70 languages natively |
| Vocal Control | Generic prosody and fixed pacing | Granular audio tags for style and pace |
| Content Security | Difficult to verify AI origin | Integrated SynthID digital watermarking |
| Deployment Platforms | Standalone or limited APIs | Google AI Studio, Vertex AI, and Google Vids |
Action Checklist
- Access the model via Google AI Studio or Vertex AI Ensure your project has the necessary API permissions enabled
- Implement audio tags in your natural language prompts Test different tags to fine-tune vocal style and delivery speed
- Verify SynthID watermarking for your generated assets Useful for compliance with AI transparency standards
- Review localized output across target languages Validate pronunciation accuracy for specific technical jargon
Source: DeepMind Blog
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