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title: Gemini 3.8 text-to-speech says hello | daily.dev
description: Google introduced Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS, two new text-to-speech models offering generative voice design, a library of 2,000+...
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# Gemini 3.8 text-to-speech says hello

**[DeepMind](https://daily.dev/sources/dm)** · 6 min read · 0 upvotes · 0 comments

## Summary

Google introduced Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS, two new text-to-speech models offering generative voice design, a library of 2,000+ voices, voice replication from a 30-second sample, long-form and dual-speaker scene generation, and line-by-line performance direction with non-verbal cues like laughs and sighs. Flash TTS targets deep creative control for gaming, audiobooks, and podcasts, while Flash-Lite TTS targets high-volume, cost-efficient dubbing and voice agents. Gemini 3.8 Flash TTS ranks #1 on Hume AI's Voice Design Benchmark and Overall Quality Index, with Flash-Lite ranking #2. Both models include SynthID watermarking and consent verification for voice replication, and are rolling out via the Gemini API, Google AI Studio, Gemini Notebook, Google Vids, and soon Gemini Enterprise.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-8-text-to-speech>

## Questions this post answers

### What new text-to-speech models did Google release with Gemini 3.8?

Google released Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS. Flash TTS supports generative voice design, a 2,000+ voice library, voice replication from a 30-second sample, and line-by-line performance direction with non-verbal cues; Flash-Lite TTS targets high-volume, cost-efficient dubbing and voice agents. Both are available via the Gemini API and Google AI Studio.

_Developers evaluating TTS options for voice agents can track Gemini audio model updates on daily.dev._

### How does Gemini 3.8 Flash TTS compare to other text-to-speech models in quality benchmarks?

Gemini 3.8 Flash TTS holds the #1 overall spot on Hume AI's Voice Design Benchmark with a score of 71.4, and leads accent modeling with 60.8. It also ranks #1 on Hume AI's Overall Quality Index, with Gemini 3.8 Flash-Lite TTS ranking #2, and both top Voice Arena's blind preference tests in languages like Japanese, Brazilian Portuguese, and Hindi.

_Teams comparing TTS providers can follow benchmark results like these on daily.dev before choosing a model._

### What safeguards does Gemini's voice replication feature use to prevent misuse?

Voice replication requires consent verification: users must submit a verbal consent recording from the voice owner matching the reference speaker before a voice can be created. Every generated audio clip is also watermarked with SynthID, an imperceptible marker woven into the output, plus C2PA credentials, to keep AI-generated speech detectable and protect voice talent from unauthorized use.

_Developers building voice-cloning features can weigh consent and watermarking requirements discussed on daily.dev._

## Similar posts on daily.dev

- [Gemini 3.1 Flash TTS: the next generation of expressive AI speech](https://daily.dev/posts/gemini-3-1-flash-tts-the-next-generation-of-expressive-ai-speech-1av40deos) · DeepMind · 9 upvotes · 1 comments
- [Gemini 3.1 Flash TTS on Google Cloud](https://daily.dev/posts/gemini-3-1-flash-tts-on-google-cloud-pl4nonfnc) · Google Cloud · 0 upvotes · 0 comments
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---

Tags: [#google](https://daily.dev/tags/google), [#google-gemini](https://daily.dev/tags/google-gemini), [#text-to-speech](https://daily.dev/tags/text-to-speech), [#voice-cloning](https://daily.dev/tags/voice-cloning), [#google-ai-studio](https://daily.dev/tags/google-ai-studio)

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