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Introducing Gemini 3.8 Flash TTS 📣 for expressive, nuanced voice acting, and 3.8 Flash-Lite TTS ⚡️ for high-volume, cost-efficient scale! Our most expressive, multilingual (100+ languages) speech generation models bring powerful new features for developers and creators alike: • Voice Design: Craft custom voices across languages, dialects, and accents...

11,914 Aufrufe • vor 1 Tag •via X (Twitter)

17 Kommentare

Profilbild von Alisa Fortin
Alisa Fortinvor 1 Tag

Congratulations! We did it! 🍾

Profilbild von Thor 雷神 ⚡️
Thor 雷神 ⚡️vor 1 Tag

Huuge kudos to the team, so many cool new features 💪

Profilbild von Thor 雷神 ⚡️
Thor 雷神 ⚡️vor 1 Tag

Read all about it 👇

Profilbild von Jason Stephen
Jason Stephenvor 1 Tag

Thor voice bot coming soon

Profilbild von Thor 雷神 ⚡️
Thor 雷神 ⚡️vor 1 Tag

Finally I can give myself a beautiful German accent 🙌

Profilbild von Emily
Emilyvor 14 Stunden

Congratulations 🔥, hopefully it will be implemented in Gemini Notebook soon 🤞.

Profilbild von Hermes ᯅ
Hermes ᯅvor 17 Stunden

Congrats on the launch Thor! The voice cues make it feel so much more realistic and give depth to the agent output.

Profilbild von Angus Hardy-Francis
Angus Hardy-Francisvor 1 Tag

very cool - another week, another release. congrats 🙌

Profilbild von Thor 雷神 ⚡️
Thor 雷神 ⚡️vor 1 Tag

Oh yeah, Gemini Audio is on a roll! 🤘

Profilbild von Rod
Rodvor 1 Tag

It's actually **really good** 👏🏻😱

Profilbild von Thor 雷神 ⚡️
Thor 雷神 ⚡️vor 1 Tag

Yup, the team cooked! 🔥

Profilbild von Connie Leung 🇭🇰🇨🇦|GDE (Angular, Cloud AI, Web)
Connie Leung 🇭🇰🇨🇦|GDE (Angular, Cloud AI, Web)vor 16 Stunden

Waiting for Firebase support

Profilbild von Thor 雷神 ⚡️
Thor 雷神 ⚡️vor 15 Stunden

You mean Firebase AI SDK?

Profilbild von Akriti Keswani
Akriti Keswanivor 1 Tag

This is truly so cool

Profilbild von Michael Waitze
Michael Waitzevor 22 Stunden

The ability to craft custom voices from simple text prompts is a huge leap, and we actually went deeper on this here:

Profilbild von Alec Freudenstein
Alec Freudensteinvor 1 Tag

#1 on Hume's Voice Design Benchmark (71.4) and Overall Quality Index!!!

Profilbild von Zico
Zicovor 1 Tag

Congrats on the launch, Thor! Gemini 3.8 Flash TTS sounds fantastic, especially the two-speaker dialogue. I paired it with Agora RTC to build a live AI podcast where listeners can jump in and talk to the hosts:

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🚨 JUST IN: MICROSOFT just open sourced a VOICE AI THAT TRANSCRIBES 60 MINUTES OF AUDIO in a single pass. 100% FREE. It knows who spoke. It knows when they spoke. It knows exactly what they said. All in one shot. No chunking. No context loss. It's called VibeVoice. Not a transcription tool. Not a basic speech to text wrapper. A frontier voice AI family with ASR, TTS, and real time streaming. All open source. All free. Here's what it actually does 👇 VibeVoice ASR - Speech Recognition: → Processes 60 minutes of continuous audio in a single pass → Never slices audio into chunks so global context is never lost → Identifies WHO spoke, WHEN they spoke and WHAT they said simultaneously → Supports customized hotwords for domain specific accuracy → Works in 50+ languages natively → Already adopted by Hugging Face Transformers library → Already being built on by the open source community BY PEOPLE WHO HAD NO IDEA THIS LEVEL OF ACCURACY WAS ALREADY FREE. VibeVoice TTS - Text to Speech: → Generates up to 90 minutes of speech in a single pass → Supports up to 4 distinct speakers in one conversation → Natural turn taking and speaker consistency throughout → Expressive speech that captures emotional nuances → Supports English, Chinese and multiple other languages VibeVoice Realtime - Streaming TTS: → Only 300 millisecond first audible latency → Streams text input in real time → 0.5B parameters so it actually deploys anywhere → Robust long form generation up to 10 minutes → Lightweight enough for production use today The core innovation nobody is talking about: Most voice AI models slice long audio into short chunks. Every time they slice, they lose context. Speaker tracking breaks. Semantic coherence breaks. Accuracy drops. VibeVoice uses continuous speech tokenizers running at an ultra low frame rate of 7.5 Hz. This preserves audio fidelity while dramatically boosting computational efficiency. The entire 60 minutes stays in context. Nothing gets lost. Nobody gets misidentified. The numbers: → VibeVoice ASR 7B - available now on Hugging Face → VibeVoice Realtime 0.5B - try it on Colab right now → 50+ supported languages → 11 distinct English voice styles → 9 multilingual speaker voices → Already integrated into Hugging Face Transformers → Finetuning code now available The wildest part? A voice powered input method called Vibing just built itself on top of VibeVoice ASR. Available on macOS and Windows right now. The open source community is already shipping products on top of this. 100% Open Source. Free to use. Free to fine tune. Free to build on. 🔖 Save this before your competitors find it first. 👇

Kanika

221,715 Aufrufe • vor 5 Monaten