# voice ai

Published articles for voice ai.

This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles.

## How to Connect Your Twilio Agent to External APIs in Python

DevFeed: [How to Connect Your Twilio Agent to External APIs in Python](<https://devfeed.tech/articles/how-to-connect-your-twilio-agent-to-external-apis-in-python-16103.md>)

Original publisher: [Read original article](<https://www.twilio.com/en-us/blog/developers/tutorials/product/how-to-connect-twilio-agent-to-external-apis-python>)

Author: Amanda Lange, Dylan Frankcom

Published: 2026-09-12T00:00:00Z

Content type: tutorial

Language: en

Sources: [Twilio Blog](<https://devfeed.tech/sources/twilio-blog.md>)

Topics: [Python](<https://devfeed.tech/topics/python.md>), [API](<https://devfeed.tech/topics/api.md>), [FastAPI](<https://devfeed.tech/topics/fastapi.md>), [AI Agent](<https://devfeed.tech/topics/ai-agent.md>), [voice ai](<https://devfeed.tech/topics/voice-ai.md>), [REST API](<https://devfeed.tech/topics/rest-api.md>), [WebSocket](<https://devfeed.tech/topics/websocket.md>), [OpenAI](<https://devfeed.tech/topics/openai.md>)

Tags: [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [apis](<https://devfeed.tech/tags/apis.md>), [developer-insights](<https://devfeed.tech/tags/developer-insights.md>), [fastapi](<https://devfeed.tech/tags/fastapi.md>), [ngrok](<https://devfeed.tech/tags/ngrok.md>), [openai](<https://devfeed.tech/tags/openai.md>), [python](<https://devfeed.tech/tags/python.md>), [tutorial](<https://devfeed.tech/tags/tutorial.md>), [visual-studio-code](<https://devfeed.tech/tags/visual-studio-code.md>), [voice-ai](<https://devfeed.tech/tags/voice-ai.md>), [websocket](<https://devfeed.tech/tags/websocket.md>)

### AI overview

This tutorial explains how to connect a Twilio voice agent to an external REST API using Python and FastAPI. It demonstrates using LLM tool calling to fetch live data and take actions on a caller's behalf.

### Source excerpt

Learn how to connect a Twilio voice agent to an external API using Python, so it can fetch real-time data and take action on a caller's behalf.

## OpenAI arms devs with AI conversation tool that can talk and listen at the same time

DevFeed: [OpenAI arms devs with AI conversation tool that can talk and listen at the same time](<https://devfeed.tech/articles/openai-arms-devs-with-ai-conversation-tool-that-can-talk-and-listen-at-the-same-time-8532.md>)

Original publisher: [Read original article](<https://www.theregister.com/ai-and-ml/2026/09/10/openai-arms-devs-with-ai-conversation-tool-that-can-talk-and-listen-at-the-same-time/5295708>)

Author: Thomas Claburn

Published: 2026-09-10T22:59:00Z

Content type: news

Language: en

Sources: [www.theregister.com - Articles](<https://devfeed.tech/sources/www-theregister-com-articles.md>)

Topics: [Machine learning](<https://devfeed.tech/topics/machine-learning.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-and-ml](<https://devfeed.tech/tags/ai-and-ml.md>), [ai-models](<https://devfeed.tech/tags/ai-models.md>), [api](<https://devfeed.tech/tags/api.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [audio](<https://devfeed.tech/tags/audio.md>), [openai](<https://devfeed.tech/tags/openai.md>), [tool](<https://devfeed.tech/tags/tool.md>), [voice-ai](<https://devfeed.tech/tags/voice-ai.md>)

### AI overview

OpenAI's GPT-Live-1 is presented as a conversation tool that lets developers speak with AI models more fluidly.

### Source excerpt

GPT-Live-1 makes speaking to AI models more fluid

## How to Build a Voice AI Agent with OpenAI's GPT-Live, Twilio Agent Connect, and Python

DevFeed: [How to Build a Voice AI Agent with OpenAI's GPT-Live, Twilio Agent Connect, and Python](<https://devfeed.tech/articles/how-to-build-a-voice-ai-agent-with-openai-s-gpt-live-twilio-agent-connect-and-python-16092.md>)

Original publisher: [Read original article](<https://www.twilio.com/en-us/blog/developers/tutorials/integrations/tac-gpt-live-voice-ai-agent-python>)

Author: Xinghao Huang

Published: 2026-09-10T00:00:00Z

Content type: tutorial

Language: en

Sources: [Twilio Blog](<https://devfeed.tech/sources/twilio-blog.md>)

Topics: [voice ai](<https://devfeed.tech/topics/voice-ai.md>), [AI Agent](<https://devfeed.tech/topics/ai-agent.md>), [Python](<https://devfeed.tech/topics/python.md>), [OpenAI](<https://devfeed.tech/topics/openai.md>), [SDKs](<https://devfeed.tech/topics/sdks.md>), [API](<https://devfeed.tech/topics/api.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-agent](<https://devfeed.tech/tags/ai-agent.md>), [and-best-practices](<https://devfeed.tech/tags/and-best-practices.md>), [api](<https://devfeed.tech/tags/api.md>), [backend](<https://devfeed.tech/tags/backend.md>), [code](<https://devfeed.tech/tags/code.md>), [developer-insights](<https://devfeed.tech/tags/developer-insights.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [openai](<https://devfeed.tech/tags/openai.md>), [python](<https://devfeed.tech/tags/python.md>), [sdk](<https://devfeed.tech/tags/sdk.md>), [tutorials](<https://devfeed.tech/tags/tutorials.md>), [voice-ai](<https://devfeed.tech/tags/voice-ai.md>)

### AI overview

A tutorial for building inbound and outbound phone voice AI agents with Python, Twilio Agent Connect, and OpenAI's GPT-Live. It covers tool calls, proactive greetings, per-call customization, and configuration for Twilio Media Streams.

### Source excerpt

Build inbound and outbound voice AI assistants that can handle tool calls using Python, Twilio Agent Connect, and OpenAI's GPT-Live.

## Build Voice AI Experiences with Twilio and GPT-Live-1 in the OpenAI API

DevFeed: [Build Voice AI Experiences with Twilio and GPT-Live-1 in the OpenAI API](<https://devfeed.tech/articles/build-voice-ai-experiences-with-twilio-and-gpt-live-1-in-the-openai-api-16104.md>)

Original publisher: [Read original article](<https://www.twilio.com/en-us/blog/developers/twilio-openai-gpt-live-1-api-resources>)

Author: Lenore Files

Published: 2026-09-10T00:00:00Z

Content type: tutorial

Language: en

Sources: [Twilio Blog](<https://devfeed.tech/sources/twilio-blog.md>)

Topics: [voice ai](<https://devfeed.tech/topics/voice-ai.md>), [real-time](<https://devfeed.tech/topics/real-time.md>), [API](<https://devfeed.tech/topics/api.md>), [SDKs](<https://devfeed.tech/topics/sdks.md>), [OpenAI](<https://devfeed.tech/topics/openai.md>), [Node.js](<https://devfeed.tech/topics/node-js.md>), [Python](<https://devfeed.tech/topics/python.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [api](<https://devfeed.tech/tags/api.md>), [developer-insights](<https://devfeed.tech/tags/developer-insights.md>), [openai](<https://devfeed.tech/tags/openai.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [tutorials](<https://devfeed.tech/tags/tutorials.md>), [voice](<https://devfeed.tech/tags/voice.md>), [voice-ai](<https://devfeed.tech/tags/voice-ai.md>), [websocket](<https://devfeed.tech/tags/websocket.md>)

### AI overview

This tutorial article explains how to build real-time voice AI applications by connecting Twilio Agent Connect with OpenAI's GPT-Live-1 through the OpenAI API. It provides tutorials, sample applications, SDK support, and documentation for voice assistants and outbound voice agents using Node.js and Python.

### Source excerpt

Build real-time voice AI Agents with Twilio and GPT-Live-1 in the OpenAI API with these tutorials, sample apps, and more.

## Choosing a low-latency infrastructure layer for conversational AI

DevFeed: [Choosing a low-latency infrastructure layer for conversational AI](<https://devfeed.tech/articles/choosing-a-low-latency-infrastructure-layer-for-conversational-ai-16112.md>)

Original publisher: [Read original article](<https://www.twilio.com/en-us/blog/insights/low-latency-layer-conversational-ai>)

Author: Luke Morgan

Published: 2026-09-08T00:00:00Z

Content type: article

Language: en

Sources: [Twilio Blog](<https://devfeed.tech/sources/twilio-blog.md>)

Topics: [Low Latency](<https://devfeed.tech/topics/low-latency.md>), [Conversational AI](<https://devfeed.tech/topics/conversational-ai.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [systems](<https://devfeed.tech/topics/systems.md>)

Tags: [conversational-ai](<https://devfeed.tech/tags/conversational-ai.md>), [industry-insights](<https://devfeed.tech/tags/industry-insights.md>), [inference](<https://devfeed.tech/tags/inference.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [low-latency](<https://devfeed.tech/tags/low-latency.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [voice-ai](<https://devfeed.tech/tags/voice-ai.md>)

### AI overview

This article explains how infrastructure choices affect latency in conversational AI call-center systems. It describes a unified path for speech recognition, language-model processing, and speech synthesis, and presents Twilio's ConversationRelay as a low-latency voice pipeline with median latency under 0.5 seconds.

### Source excerpt

ConversationRelay delivers real-time speech recognition for call centers, with under 0.5s median latency. See how Twilio powers low-latency conversational AI.

## 🍔🧠 How OpenAI Built GPT-Live for Low-Latency Voice AI

DevFeed: [🍔🧠 How OpenAI Built GPT-Live for Low-Latency Voice AI](<https://devfeed.tech/articles/how-openai-built-gpt-live-for-low-latency-voice-ai-18127.md>)

Original publisher: [Read original article](<https://hungrymindsdev.substack.com/p/how-openai-built-gpt-live-for-low>)

Author: Alexandre Zajac

Published: 2026-09-07T15:31:33Z

Content type: article

Language: en

Sources: [Hungry Minds](<https://devfeed.tech/sources/hungry-minds.md>)

Topics: [Conversational AI](<https://devfeed.tech/topics/conversational-ai.md>), [Low Latency](<https://devfeed.tech/topics/low-latency.md>), [voice ai](<https://devfeed.tech/topics/voice-ai.md>), [OpenAI](<https://devfeed.tech/topics/openai.md>), [real-time](<https://devfeed.tech/topics/real-time.md>), [Streaming](<https://devfeed.tech/topics/streaming.md>), [Remote Procedure Call (RPC)](<https://devfeed.tech/topics/rpc.md>), [Go](<https://devfeed.tech/topics/go.md>)

Tags: [go](<https://devfeed.tech/tags/go.md>), [low-latency](<https://devfeed.tech/tags/low-latency.md>), [openai](<https://devfeed.tech/tags/openai.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [rpc](<https://devfeed.tech/tags/rpc.md>), [software-engineering](<https://devfeed.tech/tags/software-engineering.md>), [streaming](<https://devfeed.tech/tags/streaming.md>), [voice-ai](<https://devfeed.tech/tags/voice-ai.md>)

### AI overview

The article explains how OpenAI built GPT-Live as a low-latency, full-duplex voice system. It describes a fast audio path that listens and speaks simultaneously, asynchronous delegation of deeper reasoning and backend work, stateful handoffs, optimized protocol boundaries, and a Go-based media frontend.

### Source excerpt

PLUS: Zero-knowledge proofs ⚡, Design.md agent automation 👨💻, System Design Docs 101 📚

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

DevFeed: [How we built a realtime system for responsive voice AI in six months](<https://devfeed.tech/articles/how-we-built-a-realtime-system-for-responsive-voice-ai-in-six-months-6358.md>)

Original publisher: [Read original article](<https://openai.com/index/continuous-voice-interaction-with-gpt-live>)

Published: 2026-08-03T07:00:00Z

Content type: article

Language: en

Sources: [OpenAI News](<https://devfeed.tech/sources/openai-news.md>)

Topics: [voice ai](<https://devfeed.tech/topics/voice-ai.md>), [Low Latency](<https://devfeed.tech/topics/low-latency.md>), [Inference](<https://devfeed.tech/topics/inference.md>), [model-deployment](<https://devfeed.tech/topics/model-deployment.md>), [systems](<https://devfeed.tech/topics/systems.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>)

Tags: [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [architecture](<https://devfeed.tech/tags/architecture.md>), [audio](<https://devfeed.tech/tags/audio.md>), [chatgpt](<https://devfeed.tech/tags/chatgpt.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [gpt](<https://devfeed.tech/tags/gpt.md>), [inference](<https://devfeed.tech/tags/inference.md>), [latency](<https://devfeed.tech/tags/latency.md>), [llm](<https://devfeed.tech/tags/llm.md>), [llms](<https://devfeed.tech/tags/llms.md>), [low-latency](<https://devfeed.tech/tags/low-latency.md>), [model](<https://devfeed.tech/tags/model.md>), [speech](<https://devfeed.tech/tags/speech.md>), [systems](<https://devfeed.tech/tags/systems.md>), [text-to-speech](<https://devfeed.tech/tags/text-to-speech.md>), [voice](<https://devfeed.tech/tags/voice.md>), [voice-ai](<https://devfeed.tech/tags/voice-ai.md>)

### AI overview

OpenAI describes GPT-Live, a full-duplex voice system designed for continuous, natural conversation. Its low-latency architecture streams audio in both directions, separates asynchronous delegation from the core voice path, and coordinates stateful inference, dynamic context management, and protocol-level optimization.

### Source excerpt

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

## ChatGPT Live and the New Architecture of Voice AI

DevFeed: [ChatGPT Live and the New Architecture of Voice AI](<https://devfeed.tech/articles/chatgpt-live-and-the-new-architecture-of-voice-ai-28517.md>)

Original publisher: [Read original article](<https://blog.risingstack.com/chatgpt-live-new-architecture-of-voice-ai/>)

Author: RisingStack Engineering

Published: 2026-07-16T12:38:22Z

Content type: article

Language: en

Sources: [RisingStack](<https://devfeed.tech/sources/risingstack.md>)

Topics: [voice ai](<https://devfeed.tech/topics/voice-ai.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [ChatGPT](<https://devfeed.tech/topics/chatgpt.md>), [OpenAI](<https://devfeed.tech/topics/openai.md>), [systems](<https://devfeed.tech/topics/systems.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [architecture](<https://devfeed.tech/tags/architecture.md>), [audio](<https://devfeed.tech/tags/audio.md>), [chatgpt](<https://devfeed.tech/tags/chatgpt.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [gpt](<https://devfeed.tech/tags/gpt.md>), [here](<https://devfeed.tech/tags/here.md>), [interrupt](<https://devfeed.tech/tags/interrupt.md>), [messages](<https://devfeed.tech/tags/messages.md>), [models](<https://devfeed.tech/tags/models.md>), [openai](<https://devfeed.tech/tags/openai.md>), [quality](<https://devfeed.tech/tags/quality.md>), [speaking](<https://devfeed.tech/tags/speaking.md>), [speech](<https://devfeed.tech/tags/speech.md>), [systems](<https://devfeed.tech/tags/systems.md>), [talk](<https://devfeed.tech/tags/talk.md>), [tool](<https://devfeed.tech/tags/tool.md>), [update](<https://devfeed.tech/tags/update.md>), [voice-ai](<https://devfeed.tech/tags/voice-ai.md>), [voices](<https://devfeed.tech/tags/voices.md>)

### AI overview

The article explains how OpenAI's GPT-Live models power ChatGPT Voice through a full-duplex architecture. The system can listen and speak simultaneously, handle interruptions, pause while users think, and delegate deeper reasoning, web search, or other complex work to another model.

### Source excerpt

OpenAI has introduced GPT-Live, a new generation of voice models that now powers ChatGPT Voice. At first, this may sound like another voice-quality update. The voices have been remastered, ChatGPT should interrupt less often, and it can respond more naturally when you pause, change direction or speak over it. But GPT-Live is more than a [...] The post ChatGPT Live and the New Architecture of Voice AI appeared first on RisingStack Engineering.

## Introducing Real World VoiceEQ: Measuring the human quality of voice AI

DevFeed: [Introducing Real World VoiceEQ: Measuring the human quality of voice AI](<https://devfeed.tech/articles/introducing-real-world-voiceeq-measuring-the-human-quality-of-voice-ai-7454.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/real-world-voiceeq>)

Author: David Ayllon; Alice; Jeff Brooks; Franc Camps Febrer; Jakub Piotr Cłapa; Theo Lebryk; Jens Madsen; Olya Ossipova; Sharath Rao; Hoon Shin

Published: 2026-07-15T00:00:00Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [voice ai](<https://devfeed.tech/topics/voice-ai.md>), [Benchmark](<https://devfeed.tech/topics/benchmark.md>), [Human-AI evaluation](<https://devfeed.tech/topics/human-ai-evaluation.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [asr](<https://devfeed.tech/topics/asr.md>), [human feedback](<https://devfeed.tech/topics/human-feedback.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [announcement](<https://devfeed.tech/tags/announcement.md>), [audio](<https://devfeed.tech/tags/audio.md>), [benchmark](<https://devfeed.tech/tags/benchmark.md>), [benchmarks](<https://devfeed.tech/tags/benchmarks.md>), [evaluation](<https://devfeed.tech/tags/evaluation.md>), [human-feedback](<https://devfeed.tech/tags/human-feedback.md>), [leaderboard](<https://devfeed.tech/tags/leaderboard.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [reinforcement-learning](<https://devfeed.tech/tags/reinforcement-learning.md>), [speech](<https://devfeed.tech/tags/speech.md>), [voice-ai](<https://devfeed.tech/tags/voice-ai.md>)

### AI overview

Real World VoiceEQ is a benchmark for evaluating the human quality of voice AI beyond latency and word error rate. It measures how voice systems recognize, produce, and respond to acoustic information such as tone, emotion, speaker identity, and background context across ASR, TTS, speech-to-speech, and speech understanding. The benchmark covers more than 40 voice models, 15+ evaluation dimensions, and more than 60 metrics, using over 1 million human ratings.

### Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.

## Hugging Face and Cerebras bring Gemma 4 to real-time voice AI

DevFeed: [Hugging Face and Cerebras bring Gemma 4 to real-time voice AI](<https://devfeed.tech/articles/hugging-face-and-cerebras-bring-gemma-4-to-real-time-voice-ai-7137.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/cerebras-gemma4-voice-ai>)

Author: Amir Mahla; Andres Marafioti; Leandro von Werra; Saurabh Vyas

Published: 2026-07-01T00:00:00Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [voice ai](<https://devfeed.tech/topics/voice-ai.md>), [gemma4](<https://devfeed.tech/topics/gemma4.md>), [hugging face](<https://devfeed.tech/topics/hugging-face.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [real-time](<https://devfeed.tech/topics/real-time.md>), [Low Latency](<https://devfeed.tech/topics/low-latency.md>), [Inference](<https://devfeed.tech/topics/inference.md>), [Conversational AI](<https://devfeed.tech/topics/conversational-ai.md>), [Language models](<https://devfeed.tech/topics/language-models.md>), [systems](<https://devfeed.tech/topics/systems.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [audio](<https://devfeed.tech/tags/audio.md>), [gemma](<https://devfeed.tech/tags/gemma.md>), [hugging-face](<https://devfeed.tech/tags/hugging-face.md>), [inference](<https://devfeed.tech/tags/inference.md>), [inference-providers](<https://devfeed.tech/tags/inference-providers.md>), [latency](<https://devfeed.tech/tags/latency.md>), [low-latency](<https://devfeed.tech/tags/low-latency.md>), [model](<https://devfeed.tech/tags/model.md>), [models](<https://devfeed.tech/tags/models.md>), [multimodal](<https://devfeed.tech/tags/multimodal.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [open-source-collab](<https://devfeed.tech/tags/open-source-collab.md>), [partnerships](<https://devfeed.tech/tags/partnerships.md>), [performance](<https://devfeed.tech/tags/performance.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [systems](<https://devfeed.tech/tags/systems.md>), [text-to-speech](<https://devfeed.tech/tags/text-to-speech.md>), [voice](<https://devfeed.tech/tags/voice.md>), [voice-ai](<https://devfeed.tech/tags/voice-ai.md>)

### AI overview

Hugging Face and Cerebras present a real-time speech-to-speech pipeline that combines Cerebras inference, Google DeepMind's Gemma 4 31B language model, and Qwen text-to-speech. The modular, open architecture is designed for low latency, predictable performance, and adaptable voice experiences across assistants, robots, products, and research projects.

### Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.

## How Dream11 Built a Real-Time AI Sports Streaming Companion

DevFeed: [How Dream11 Built a Real-Time AI Sports Streaming Companion](<https://devfeed.tech/articles/how-we-built-the-world-s-first-real-time-ai-sports-streaming-companion-22622.md>)

Original publisher: [Read original article](<https://medium.com/dreamlockerroom/how-we-built-the-worlds-first-real-time-ai-sports-streaming-companion-a42273de1fca?source=rss----5c7a7f580b01---4>)

Author: Dream Blog

Published: 2026-06-15T09:51:14Z

Content type: tutorial

Language: en

Sources: [Dream11 Engineering](<https://devfeed.tech/sources/dream11-engineering.md>)

Topics: [AI Agent](<https://devfeed.tech/topics/ai-agent.md>), [Streaming](<https://devfeed.tech/topics/streaming.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [real-time](<https://devfeed.tech/topics/real-time.md>), [voice ai](<https://devfeed.tech/topics/voice-ai.md>), [Sports](<https://devfeed.tech/topics/sports.md>)

Tags: [agent](<https://devfeed.tech/tags/agent.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agent](<https://devfeed.tech/tags/ai-agent.md>), [creators](<https://devfeed.tech/tags/creators.md>), [cricket](<https://devfeed.tech/tags/cricket.md>), [latency](<https://devfeed.tech/tags/latency.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [sports](<https://devfeed.tech/tags/sports.md>), [streaming](<https://devfeed.tech/tags/streaming.md>), [tech](<https://devfeed.tech/tags/tech.md>), [voice](<https://devfeed.tech/tags/voice.md>), [voice-ai](<https://devfeed.tech/tags/voice-ai.md>)

### AI overview

This developer article describes Dream11's AI Companion, a multilingual voice AI agent that joins live creator streams as a co-host. It explains that the system watches matches, reacts to events, interacts with creators and audiences, hosts trivia, and supports live cricket commentary with approximately two-second voice latency.

### Source excerpt

Written by Narayan Sharma, Rajesh Mohanty, Dhruv Nigam, Chetna Meena and Palash TatteThe Moment That Sparked Everything Picture this: a live cricket stream. A boundary flies to the fence. The creator reacts; screaming, laughing, and enjoying the moment. The audience piles on in the chat. And in the corner of the screen, a street-smart monkey named Googly Bhai mutters: "Bhai kya cover drive mara Kohli ne, ball field pe aise glide kar rahi hai jaise garam parathe pe makkan!" The audience erupts. Not because it was scripted. Not because a human typed it. But because AI watched the same ball, processed the same moment, and reacted, with personality, with timing, and with an opinion, in under two seconds. That's the Dream11 AI Companion. And building it was anything but simple. 🏆 World's first real-time AI sports streaming companion ⚡ ~2 second end-to-end voice latency 🗣 70+ languages supported natively by S2S model; primary: Hindi, English, Hinglish 🔌 Zero extra setup for streamers -- integrates directly via OBS + Creator Console What We Set Out to Build With 250M+ users, Dream11 has been on a journey to become everyone's sports entertainment destination. And entertainment lives where the fans are; inside live streams, creator channels, match-day conversations. The question we asked ourselves: What if a creator never had to stream alone again? Or if they were unavailable, could we ensure they had a back up? The answer was an AI Companion: A real-time, multilingual voice AI agent that joins live creator streams as a co-host. It watches the match. It reacts to what's happening. It banters with creators and audiences. It hosts trivia. It roasts players. It debates cricket. Meet the Characters Before we get into architecture, meet the two AI characters at the heart of this product. Bittu Bindas 🐻 A bold, banterous bear. Speaks Hindi (in Mumbaikar style). Playful, opinionated, and absolutely no-filter. Bittu doesn't overthink. He just says what every fan in the room is think

## Advancing voice intelligence with new models in the API

DevFeed: [Advancing voice intelligence with new models in the API](<https://devfeed.tech/articles/advancing-voice-intelligence-with-new-models-in-the-api-6280.md>)

Original publisher: [Read original article](<https://openai.com/index/advancing-voice-intelligence-with-new-models-in-the-api>)

Published: 2026-05-07T10:00:00Z

Content type: release

Language: en

Sources: [OpenAI News](<https://devfeed.tech/sources/openai-news.md>)

Topics: [API](<https://devfeed.tech/topics/api.md>), [voice ai](<https://devfeed.tech/topics/voice-ai.md>), [OpenAI](<https://devfeed.tech/topics/openai.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [asr](<https://devfeed.tech/topics/asr.md>), [Streaming](<https://devfeed.tech/topics/streaming.md>), [Whisper](<https://devfeed.tech/topics/whisper.md>)

Tags: [agent](<https://devfeed.tech/tags/agent.md>), [api](<https://devfeed.tech/tags/api.md>), [audio](<https://devfeed.tech/tags/audio.md>), [developers](<https://devfeed.tech/tags/developers.md>), [launch](<https://devfeed.tech/tags/launch.md>), [model](<https://devfeed.tech/tags/model.md>), [models](<https://devfeed.tech/tags/models.md>), [openai](<https://devfeed.tech/tags/openai.md>), [product](<https://devfeed.tech/tags/product.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [speech](<https://devfeed.tech/tags/speech.md>), [streaming](<https://devfeed.tech/tags/streaming.md>), [tools](<https://devfeed.tech/tags/tools.md>), [voice](<https://devfeed.tech/tags/voice.md>), [voice-ai](<https://devfeed.tech/tags/voice-ai.md>), [whisper](<https://devfeed.tech/tags/whisper.md>)

### AI overview

OpenAI is introducing three audio models in its API: GPT-Realtime-2 for more capable conversational voice interactions, GPT-Realtime-Translate for live speech translation, and GPT-Realtime-Whisper for streaming speech-to-text. The models are designed to support voice applications that can listen, reason, translate, transcribe, use tools, and take action in real time.

### Source excerpt

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

## How OpenAI delivers low-latency voice AI at scale

DevFeed: [How OpenAI delivers low-latency voice AI at scale](<https://devfeed.tech/articles/how-openai-delivers-low-latency-voice-ai-at-scale-6372.md>)

Original publisher: [Read original article](<https://openai.com/index/delivering-low-latency-voice-ai-at-scale>)

Published: 2026-05-04T00:00:00Z

Content type: article

Language: en

Sources: [OpenAI News](<https://devfeed.tech/sources/openai-news.md>)

Topics: [voice ai](<https://devfeed.tech/topics/voice-ai.md>), [WebRTC](<https://devfeed.tech/topics/webrtc.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [OpenAI](<https://devfeed.tech/topics/openai.md>), [Latency](<https://devfeed.tech/topics/latency.md>), [Low Latency](<https://devfeed.tech/topics/low-latency.md>), [real-time](<https://devfeed.tech/topics/real-time.md>), [API](<https://devfeed.tech/topics/api.md>), [browsers](<https://devfeed.tech/topics/browsers.md>), [client](<https://devfeed.tech/topics/client.md>), [ChatGPT](<https://devfeed.tech/topics/chatgpt.md>), [Server](<https://devfeed.tech/topics/server.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [api](<https://devfeed.tech/tags/api.md>), [audio](<https://devfeed.tech/tags/audio.md>), [browsers](<https://devfeed.tech/tags/browsers.md>), [chatgpt](<https://devfeed.tech/tags/chatgpt.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [global](<https://devfeed.tech/tags/global.md>), [latency](<https://devfeed.tech/tags/latency.md>), [low-latency](<https://devfeed.tech/tags/low-latency.md>), [network](<https://devfeed.tech/tags/network.md>), [openai](<https://devfeed.tech/tags/openai.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [server](<https://devfeed.tech/tags/server.md>), [servers](<https://devfeed.tech/tags/servers.md>), [speech](<https://devfeed.tech/tags/speech.md>), [speed](<https://devfeed.tech/tags/speed.md>), [voice-ai](<https://devfeed.tech/tags/voice-ai.md>), [webrtc](<https://devfeed.tech/tags/webrtc.md>)

### AI overview

OpenAI describes a rearchitected WebRTC stack for delivering low-latency voice AI at global scale. The article explains how split relay and transceiver components address connection setup, stateful media sessions, routing, and stable media round-trip performance while preserving standard WebRTC behavior for clients.

### Source excerpt

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

## Mistral AI Releases Voxtral TTS, a Multilingual Text-to-Speech Model

DevFeed: [Mistral AI Releases Voxtral TTS, a Multilingual Text-to-Speech Model](<https://devfeed.tech/articles/speaking-of-voxtral-7136.md>)

Original publisher: [Read original article](<https://mistral.ai/news/voxtral-tts/>)

Published: 2026-03-23T16:00:00Z

Content type: release

Language: en

Sources: [Mistral AI Blog](<https://devfeed.tech/sources/mistral-ai-blog.md>)

Topics: [voice ai](<https://devfeed.tech/topics/voice-ai.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [API](<https://devfeed.tech/topics/api.md>), [Low Latency](<https://devfeed.tech/topics/low-latency.md>), [User experience (UX)](<https://devfeed.tech/topics/ux.md>)

Tags: [agents](<https://devfeed.tech/tags/agents.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [api](<https://devfeed.tech/tags/api.md>), [audio](<https://devfeed.tech/tags/audio.md>), [customization](<https://devfeed.tech/tags/customization.md>), [latency](<https://devfeed.tech/tags/latency.md>), [low-latency](<https://devfeed.tech/tags/low-latency.md>), [quality](<https://devfeed.tech/tags/quality.md>), [speech](<https://devfeed.tech/tags/speech.md>), [text-to-speech](<https://devfeed.tech/tags/text-to-speech.md>), [voice-ai](<https://devfeed.tech/tags/voice-ai.md>), [zero-shot](<https://devfeed.tech/tags/zero-shot.md>)

### AI overview

Mistral AI has released Voxtral TTS, a 4B-parameter text-to-speech model designed to generate realistic, emotionally expressive speech in nine languages. It emphasizes low latency, contextual understanding, speaker modeling, and zero-shot cross-lingual voice adaptation for enterprise voice workflows and AI agents. The model is available through an API and Mistral Studio.

### Source excerpt

Voxtral TTS: A frontier, open-weights text-to-speech model that's fast, instantly adaptable, and produces lifelike speech for voice agents.

## How Vapi Uses Neon to Power the Next Generation of Voice Agents

DevFeed: [How Vapi Uses Neon to Power the Next Generation of Voice Agents](<https://devfeed.tech/articles/how-vapi-uses-neon-to-power-the-next-generation-of-voice-agents-5843.md>)

Original publisher: [Read original article](<https://neon.com/blog/vapi-voice-agents-neon>)

Author: Carlota Soto

Published: 2025-02-21T18:02:38Z

Content type: article

Language: en

Sources: [Blog -- Neon Docs](<https://devfeed.tech/sources/blog-neon-docs.md>)

Topics: [voice ai](<https://devfeed.tech/topics/voice-ai.md>), [API](<https://devfeed.tech/topics/api.md>), [Language models](<https://devfeed.tech/topics/language-models.md>), [WebRTC](<https://devfeed.tech/topics/webrtc.md>), [Streaming](<https://devfeed.tech/topics/streaming.md>), [Serverless](<https://devfeed.tech/topics/serverless.md>), [on-prem](<https://devfeed.tech/topics/on-prem.md>), [Software as a service](<https://devfeed.tech/topics/saas.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [api](<https://devfeed.tech/tags/api.md>), [case-studies](<https://devfeed.tech/tags/case-studies.md>), [language-models](<https://devfeed.tech/tags/language-models.md>), [on-prem](<https://devfeed.tech/tags/on-prem.md>), [routing](<https://devfeed.tech/tags/routing.md>), [saas](<https://devfeed.tech/tags/saas.md>), [serverless](<https://devfeed.tech/tags/serverless.md>), [streaming](<https://devfeed.tech/tags/streaming.md>), [voice](<https://devfeed.tech/tags/voice.md>), [voice-ai](<https://devfeed.tech/tags/voice-ai.md>), [webrtc](<https://devfeed.tech/tags/webrtc.md>)

### AI overview

The article presents Vapi as a platform for building voice AI applications and agents with a small number of API calls. It describes integrations with language models, text-to-speech engines, telephony infrastructure, function calling, multilingual support, WebRTC streaming, scalable concurrent-call infrastructure, and on-premises deployment. Example uses include customer support, onboarding, sales training, recruiting, health assistance, storytelling, and executive coaching.

### Source excerpt

The time is now: you can build voice AI apps that converse with humans using just a few API calls. With Vapi, you can create voice AI agents that don't just understand users but also respond naturally and dynamically, just like a human. Check this recording out, where James sched...