Gemini TTS: Voice Design, Voice Cloning, and Multi-Speaker Podcast Creation

An overview of recent Gemini text-to-speech capabilities, centered on voice design and voice cloning in Google AI Studio and their use through the Gemini API. The demonstration covers creating a custom voice from a short audio sample, generating voices from descriptive prompts, and applying those voices across languages and in developer workflows.

■ Voice creation in Google AI Studio
- Voice cloning from a 20-second sample
- Voice design from a text prompt, with prompt enhancement and sample generation
- Accent and language behavior when a designed voice speaks another language

■ API and developer workflow
- Using the Gemini API and Python client to list generated and cloned voices
- Voice listing via API, including filtering by language and voice attributes
- Building scripts for multi-speaker dialogue and podcast generation

■ Model and integration notes
- Gemini 3.8 Flash TTS and Gemini 3.8 Flash Light TTS positioning
- Multi-speaker dialogue with assigned voices and styles
- Partner integrations such as Agora, LiveKit, Pipecat, and Vercel

It focuses on demonstration and developer workflow rather than pricing or production deployment details. The content is aimed at developers, AI practitioners, and creators evaluating Gemini TTS for voice agents, podcasts, and multilingual speech applications. Viewers gain a workflow-level understanding of voice design, cloning, API access, and multi-speaker generation, and can use it as a starting point for testing the features in Google AI Studio and the Gemini API.