Google Gemini 3.1 Flash TTS Adds Actor-Level Voice Direction Controls

My takeaway:

The next wave of AI audio will not be about sounding human.

It will be about being controllable, consistent, expressive, and trustworthy.

Watch the full video for the breakdown.

Where do you think directed AI voice will create the most value first, media, training, customer support, or assistants?

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The enterprise angle is even bigger.

This supports 70+ languages, which makes expressive voice scalable globally.

You can also reuse consistent voice styles across projects.

That means brands can start thinking about “voice identity” the same way they think about visual identity.

The old limitation was not clarity.

AI voices were already clean and understandable.

The real limitation was control.

Most AI speech sounded like it was reading a script.

Now, with audio tags, we can guide how the AI speaks, not just what it says.

That changes the creative ceiling.

Think about the use cases:

→ AI podcasts with distinct hosts → Training simulations with realistic dialogue → Storytelling with emotional range → Assistants that sound more natural → Multi-speaker conversations where every voice has a personality

This is not just narration.

It is directed performance.