OpenAI Blog
Jul 8
Introducing GPT-Live
A new generation of voice models for natural human-AI interaction, now powering ChatGPT Voice.
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.
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OpenAI Blog
Sep 10
Build more natural voice experiences with GPT‑Live‑1 in the API
GPT‑Live‑1 brings natural, full-duplex voice conversations to the API, with stronger instruction following, custom voices, and telephony support.
OpenAI Blog
Jun 26, 2025
Customizable, no-code voice agent automation with GPT-4o
Retell AI is transforming the call center with AI voice automation powered by GPT-4o and GPT-4. 1.
OpenAI Blog
Aug 28, 2025
Introducing gpt-realtime and Realtime API updates
We’re releasing a more advanced speech-to-speech model and new API capabilities including MCP server support, image input, and SIP phone calling support.
OpenAI Blog
Oct 1, 2024
Introducing the Realtime API
Developers can now build fast speech-to-speech experiences into their applications
OpenAI Blog
Jan 7
How Tolan builds voice-first AI with GPT-5.1
Tolan built a voice-first AI companion with GPT-5. 1, combining low-latency responses, real-time context reconstruction, and memory-driven personalities for natural conversations.
OpenAI Blog
May 7
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.
DeepMind Blog
Mar 26
Gemini 3.1 Flash Live: Making audio AI more natural and reliable
Our latest voice model has improved precision and lower latency to make voice interactions more fluid, natural and precise.
OpenAI Blog
May 4
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.
arXiv Machine Learning
Jul 21
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.
arXiv AI
Sep 24
Training Intelligent Voice Assistant Wakeup with Controllable Synthetic Conversations
The paper presents a new wake‑up system for voice assistants that goes beyond simple keyword spotting by adding contextual trigger detection. After the wake word is heard, the system reasons to differentiate between actual user commands and unrelated speech, enabling more efficient and context‑aware interactions. A data‑generation architecture is introduced that creates a 62.3‑hour corpus of controllable multi‑speaker conversations, including direct invocations, contextual follow‑ups, and non‑addressed speech, and experimental results confirm the approach’s effectiveness across varied synthetic scenarios.
Hugging Face Trending Papers
Sep 12
Realtime-Venus: A full-duplex interaction system with asynchronous delegation
Natural interaction in digital and physical environments requires continuous perception and timely responses. Spoken dialogue relies on acoustic and linguistic cues, while video interaction also requi...