Gemini Discovers How to Invent New Voices Based on Descriptions
Google DeepMind published Gemini 3.8 Flash TTS models for synthetic voices generation based on a text description. This model scored the highest rating on the Hume AI benchmark for voice quality.
Google DeepMind released two speech synthesis models: Gemini 3.8 Flash TTS and its compact version Flash-Lite TTS. These models are capable of generating synthetic speech from a textual specification of the accent and personality. Yes, it means that you can clone someone’s voice (well, if they agree). And you will need only a 30 second audio sample to do so! Besides, the Gemini model achieved the best result (71.4) on the Hume AI benchmark for synthetic voice design. Both models have been integrated into the Gemini API and Google AI Studio.
Text-to-speech synthesis allows you to avoid expensive recording studios and actors. I use voice models in my projects via API. For example, there is an interesting constraint — voice cloning. Voice cloning is forbidden in some regions. And you will need permission from the owner of the source voice. Even the winner of a contest doesn’t always provide high-quality results during a long conversation. Listen to the model and verify it.
Source: blog.google
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Author
Evgenii Arsentev
PhD · Founder & CEO, Dad4Kids
Articles · Latest articles