Google DeepMind Releases Gemini 3.1 Flash TTS Featuring Natural Language Speech Controls
Google DeepMind has integrated its latest text-to-speech model, Gemini 3.1 Flash TTS, across its ecosystem including Google AI Studio, Vertex AI, and Google Vids. This new iteration significantly improves audio quality and natural resonance compared to previous versions. A standout feature is the introduction of speech tags, which allow developers to adjust style, pace, and inflection using simple natural language commands rather than complex parameter tuning.
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Comparison
| Aspect | Before / Alternative | After / This |
|---|---|---|
| Stylistic Control | Limited to preset voices and basic pitch/speed parameters | Fine-grained adjustments via natural language speech tags |
| Language Support | Restricted to major global languages with varying quality | High-quality expressive support for over 70 languages |
| Integration Platforms | Standalone API or limited product specific tools | Broad availability in Google AI Studio, Vertex AI, and Google Vids |
| Content Verification | Manual identification or metadata-based tracking | Automated watermarking using SynthID for traceability |
Action Checklist
- Access Gemini 3.1 Flash TTS via Google AI Studio or Vertex AI Ensure your project has the necessary quotas for generative media models
- Implement natural language speech tags in your prompts Test different descriptive tags for style, pace, and emotional inflection
- Review localized output for target regions across the 70 supported languages The model's expressive capabilities may vary slightly by linguistic nuance
- Verify SynthID watermarking in generated assets for compliance Use this feature to meet safety standards for AI-generated content disclosure
Source: DeepMind Blog
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