Gemini 3.1 Flash TTS: the next generation of expressive AI speech
Key Points
- Audio tags enable granular control of style and pacing
- Supports 70+ languages with multi‑speaker dialogue
- All output watermarked with SynthID
Summary
Gemini 3.1 Flash TTS is a high-fidelity text-to-speech model focused on improved naturalness, expressivity, and developer control. It introduces audio tags for granular, inline control of vocal style, pacing, and delivery, supports native multi-speaker dialogue across 70+ languages, and stamps all outputs with SynthID for provenance. The model is available in preview for developers (Gemini API, Google AI Studio), enterprises (Vertex AI), and Workspace users (Google Vids).
Key Points
- Improved speech quality and expressivity (Artificial Analysis TTS Elo score: 1,211; placed in the “most attractive quadrant”).
- Audio tags: embed natural-language directives to control scene direction, speaker-specific Audio Profiles, Director's Notes, and inline tag-driven changes mid-sentence.
- Developer workflow: experiment in Google AI Studio Playground, configure controls, fine-tune or export exact parameters as Gemini API code for reproducible voices across apps.
- Global scale: high-fidelity output and advanced style/pacing control for 70+ languages and multi-speaker scenarios.
- Safety and provenance: all generated audio includes an imperceptible SynthID watermark to enable detection of AI-generated content.
Practical notes for engineers
- Try samples and iterate in Google AI Studio Playground; export settings to Gemini API code to reproduce performances in production.
- Use audio tags and Audio Profiles to build character-driven dialogue or localized voices; inline tags allow mid-utterance expression shifts.
- Account for SynthID watermarking in your content pipeline and compliance reviews; review the model card for usage and safety guidance.