Gemini 3.1 Flash TTS: the next generation of expressive AI speech

2026-04-15 · Source: Google DeepMind News · Field: Technology & Digital — Artificial Intelligence & Machine Learning · Depth: Intermediate, medium

Summary

Google introduced Gemini 3.1 Flash TTS on April 15, 2026, a new text-to-speech (TTS) model designed for improved controllability, expressivity, and speech quality. This model allows users to adjust vocal style, pace, and delivery in over 70 languages using natural language audio tags embedded directly into text input. Gemini 3.1 Flash TTS achieved an Elo score of 1,211 on the Artificial Analysis TTS leaderboard, recognized for its high-quality speech generation and low cost. It supports multi-speaker dialogue and offers granular creative control through features like scene direction, speaker-level specificity with inline tags, and seamless export of parameters. The model is available in preview for developers via the Gemini API and Google AI Studio, for enterprises on Vertex AI, and for Workspace users through Google Vids. All generated audio is watermarked with SynthID to detect AI-generated content and combat misinformation.

Key takeaway

For developers building AI-speech applications, Gemini 3.1 Flash TTS offers enhanced control and expressivity. You should explore its audio tags in Google AI Studio to fine-tune vocal styles, pacing, and accents for diverse characters and scenarios. This model's multi-language support and SynthID watermarking also provide a robust foundation for global, responsible AI audio deployment, ensuring both creative precision and content authenticity.

Key insights

Gemini 3.1 Flash TTS offers granular control over AI speech through natural language audio tags and SynthID watermarking.

Principles

• Natural language commands enhance AI speech control.
• Watermarking AI-generated audio aids misinformation prevention.

Method

Embed natural language audio tags into text input to control vocal style, pace, and delivery, then export parameters for consistent voice profiles.

In practice

• Use audio tags for precise character voice direction.
• Export voice parameters for consistent project use.

Topics

• Gemini 3.1 Flash TTS
• Expressive AI Speech
• Audio Tags
• Natural Language Control
• SynthID Watermarking

Best for: Machine Learning Engineer, CTO, VP of Engineering/Data, NLP Engineer, AI Engineer, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by Google DeepMind News.