Gemini 3.1 Flash Live: Making audio AI more natural and reliable

Gemini 3.1 Flash TTS: the next generation of expressive AI speech

Our newest audio model introduces granular audio tags that give you precise control to direct AI speech for expressive audio generation.

Advanced audio dialog and generation with Gemini 2.5

Gemini 2. 5 has new capabilities in AI-powered audio dialog and generation.

Fluid, natural voice translation with Gemini 3.5 Live Translate

Gemini 3. 5 Live Translate brings near real-time, natural speech translation to Google AI Studio, Google Translate and Google Meet.

Improved Gemini audio models for powerful voice experiences

How we built a realtime system for responsive voice AI in six months

GPT-Live enables continuous voice interaction with AI, using a turnless speech model and low-latency architecture for faster, more natural conversations.

Advancing voice intelligence with new models in the API

Explore new realtime voice models in the OpenAI API that can reason, translate, and transcribe speech, enabling more natural and intelligent voice experiences.

Introducing the Realtime API

Developers can now build fast speech-to-speech experiences into their applications

Introducing GPT-Live

A new generation of voice models for natural human-AI interaction, now powering ChatGPT Voice.

ChipChat: Low-Latency Cascaded Conversational Agent in MLX

arXiv:2509. 00078v2 Announce Type: replace-cross Abstract: The emergence of large language models (LLMs) has transformed spoken dialog systems, yet the optimal architecture for real-time on-device voice agents remains an open question.

How OpenAI delivers low-latency voice AI at scale

How OpenAI rebuilt its WebRTC stack to power real-time Voice AI with low latency, global scale, and seamless conversational turn-taking.

What the Waveform Knows: Transparent-first Speech and Audio Intelligence with Caption Studio

arXiv:2607. 18704v1 Announce Type: cross Abstract: Caption Studio is a transparency-first speech and audio intelligence platform that transforms spoken audio and video into structured, searchable content through automated transcription, speaker diarization, speech analytics, signal-level audio analysis, and subtitle generation.

IRAF: Interference-Resilient Adaptive Fusion for Noise-Robust End-to-End Full-Duplex Spoken Dialogue Systems

arXiv:2606. 06559v1 Announce Type: cross Abstract: Full-duplex spoken dialogue models allow voice agents to listen and speak concurrently, enabling natural interaction with real-time overlap.