Google DeepMind Releases Gemini 3.1 Flash TTS Supporting Precise Vocal Control Across Over 70 Languages

Google DeepMind has launched Gemini 3.1 Flash TTS, a next-generation speech generation model designed for high-quality audio output across Google AI Studio and Vertex AI. The model enables developers to manipulate vocal characteristics such as emotional nuance and speaking speed through specialized audio tags. This update significantly enhances the naturalness of synthetic voices compared to previous iterations, making it a viable tool for diverse applications including multilingual assistants and content narration. To maintain safety and transparency, the model integrates SynthID technology to embed digital watermarks into all generated audio. While this provides a mechanism for identifying AI-generated content, developers should remain aware of potential limitations in watermark detection accuracy as the technology evolves. The release marks a shift toward more expressive and controllable AI speech interfaces for global audiences.
Comparison
| Aspect | Before / Alternative | After / This |
|---|---|---|
| Language Support | Limited language sets with less consistency | Broad support for over 70 languages |
| Vocal Control | Limited to basic pitch and speed parameters | Granular control via natural language audio tags |
| Safety Measures | No standardized digital watermarking | Integrated SynthID watermarking for provenance |
| Integration | Fragmented across experimental platforms | Unified availability in AI Studio, Vertex AI, and Vids |
| Speech Naturalness | Standard synthetic quality with robotic inflection | Enhanced expressive capabilities for varied nuances |
Source: DeepMind Blog
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