# voice Published articles for voice. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Google introduces Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking DevFeed: [Google introduces Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking]() Original publisher: [Read original article]() Author: techno\_mot (Selectel) Published: 2026-09-16T13:40:43Z Content type: news Language: ru Sources: [Tagir Valeev]() Topics: [Google](), [speech-to-speech](), [Google AI](), [Artificial Intelligence](), [API]() Tags: [ai](), [api](), [audio](), [gemini](), [google](), [llm](), [realtime](), [selectel](), [speech-to-speech](), [synthid](), [tag-efc6fa45f1fe](), [voice]() ### AI overview Google introduced two native speech-to-speech models: Gemini 3.8 Live, focused on scale and cost, and Gemini 3.8 Live Extended Thinking, designed for multi-step tasks with reasoning during dialogue. The article discusses direct audio processing, asynchronous function calls, visual context, multilingual conversations, SynthID watermarking, pricing, and availability through the Gemini API and Google AI Studio. ### Source excerpt 15 сентября Google представила две нативные speech-to-speech модели, Gemini 3.8 Live и Gemini 3.8 Live Extended Thinking. Первая заточена под масштаб и цену, вторая -- под многошаговые задачи с рассуждением прямо в диалоге. Интереснее баллов то, что голосовые агенты наконец получили признаки продакшен-продукта. Асинхронные вызовы функций, предсказуемая цена, интеграции с тем, на чем такие системы реально собирают. Хочу напомнить, как это делалось раньше. Голосовой бот -- конвейер из трех сервисов. Распознавание речи, языковая модель и синтез. Задержки складываются, а вместе с текстом может потеряться все остальное -- интонация, скорость речи, эмоция, шум на фоне. Модель получает расшифровку и не знает, что собеседник злится. Проблемным было и перебивание. Пока распознавание не закрыло фразу, система вообще не понимает, что ее прервали. Нативная speech-to-speech модель работает с аудио напрямую и снимает оба ограничения разом. Читать далее ## Gemini Live audio DevFeed: [Gemini Live audio]() Original publisher: [Read original article]() Author: Simon Willison Published: 2026-09-15T22:47:07Z Content type: tutorial Language: en Sources: [Simon Willison's Weblog]() Topics: [speech-to-speech](), [WebSocket](), [Google AI](), [browser](), [Playback](), [implementation](), [API]() Tags: [api](), [audio](), [browser](), [gemini](), [gemini-196](), [generative-ai](), [generative-ai-1-982](), [google](), [google-416](), [llm-release](), [llm-release-231](), [llms](), [llms-1-948](), [model](), [models](), [openai](), [playback](), [release](), [speech-to-speech](), [speech-to-text](), [speech-to-text-21](), [tools](), [tools-78](), [ui](), [voice](), [websocket](), [websockets](), [websockets-21]() ### AI overview The article describes a browser-based web UI for trying Google's Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking speech-to-speech models. The implementation supports model and voice selection, an optional system prompt, voice conversations, and interruption while the model is speaking. It uses no libraries, connecting to a WebSocket endpoint and using the Web Audio API for capture and playback. ### Source excerpt Tool: Gemini Live audio Google released Gemini 3.8 Live and 3.8 Live Extended Thinking today - two new speech-to-speech models that are a similar shape to OpenAI's GPT-Live family. I pointed GPT-6 Astra Extra High at the documentation and had it build me this web UI for trying out the new models. You can select a model and voice preset, enter an optional system prompt and then start a voice conversation through your browser, including the ability to interrupt the model while it is talking. The implementation uses no libraries. It connects to the wss://generativelanguage.googleapis.com/ws/google.ai.generativelanguage.v1alpha.GenerativeService.BidiGenerateContent?key=... WebSocket endpoint and uses a Web Audio API AudioContext for both capture and playback. Here's the Gemini Live tutorial for getting started with that WebSockets API. Tags: google, tools, websockets, generative-ai, llms, gemini, llm-release, speech-to-text ## How to Orchestrate Multi-Call Conversations with an LLM and Twilio Conversation Memory in Python DevFeed: [How to Orchestrate Multi-Call Conversations with an LLM and Twilio Conversation Memory in Python]() Original publisher: [Read original article]() Author: Amanda Lange, Dylan Frankcom Published: 2026-09-14T00:00:00Z Content type: tutorial Language: en Sources: [Twilio Blog]() Topics: [FastAPI](), [Large Language Model](), [API](), [Artificial Intelligence]() Tags: [api](), [developer-insights](), [fastapi](), [how-to](), [llm](), [ngrok](), [openai](), [pycharm](), [python](), [visual-studio-code](), [voice]() ### AI overview This tutorial shows how to build a Python FastAPI voice agent that uses Twilio Conversation Memory to preserve caller context, preferences, and action history across separate phone calls. It also covers connecting to OpenAI, exposing local webhooks with ngrok, and calling the Conversation Memory REST API asynchronously. ### Source excerpt Learn how to build a Python FastAPI voice agent that uses Twilio Conversation Memory to remember callers across separate phone calls, so if someone hangs up and calls back, the agent picks up right where the conversation left off. ## How to Connect Your Twilio Agent to External APIs in Node.js DevFeed: [How to Connect Your Twilio Agent to External APIs in Node.js]() Original publisher: [Read original article]() Author: Dhruv Patel, Amanda Lange Published: 2026-09-14T00:00:00Z Content type: tutorial Language: en Sources: [Twilio Blog]() Topics: [AI Agent](), [Node.js](), [voice ai](), [REST API](), [OpenAI](), [Express]() Tags: [agent](), [ai](), [ai-agent](), [developer-insights](), [environment-variables](), [node-js](), [openai](), [rest-apis](), [visual-studio-code](), [voice]() ### AI overview This tutorial explains how to build a voice-enabled AI agent in Node.js with Twilio Conversation Relay and OpenAI. The agent uses LLM-driven tool calling to retrieve live data and take actions through an external REST API. ### Source excerpt Build a voice-enabled AI agent in Node.js with Twilio Conversation Relay and OpenAI to dynamically fetch live data from external REST APIs. ## How to Evaluate Live & Voice Agents in ADK DevFeed: [How to Evaluate Live & Voice Agents in ADK]() Original publisher: [Read original article]() Author: Stephen Allen Published: 2026-09-12T11:04:33.891311Z Content type: tutorial Language: en Sources: [Google Developers Blog]() Topics: [AI Bots](), [CI/CD]() Tags: [agents](), [audio](), [ci-cd](), [cli](), [evaluation](), [gemini](), [how-to](), [json](), [llm](), [production](), [testing](), [tool](), [tools](), [transcripts](), [voice](), [workflows]() ### AI overview The article explains how to evaluate live voice agents in ADK with simulated audio conversations, automated scoring, and recorded results. It covers scenario-based and fixed-conversation test cases, multi-agent workflows, and running evaluations in CI/CD. ### Source excerpt Moving live voice agents from demo to production requires rigorous, automated testing to handle the unpredictability of real multi-turn conversations. ADK now provides native live evaluation, allowing developers to test graph-based agent workflows against LLM-driven simulated users that generate actual audio via Gemini TTS. By defining evaluation scenarios and natural-language rubrics, you can automatically score audio responses and tool executions, inspect the resulting transcripts in ADK Web, or run the CLI directly in your CI/CD pipeline. ## How to Connect Your Twilio Agent to External APIs with PHP DevFeed: [How to Connect Your Twilio Agent to External APIs with PHP]() Original publisher: [Read original article]() Author: Amanda Lange, Matthew Setter Published: 2026-09-11T00:00:00Z Content type: tutorial Language: en Sources: [Twilio Blog]() Topics: [PHP](), [Tutorial](), [AI Agent](), [API](), [REST API](), [voice ai](), [.env](), [OpenAI](), [Composer](), [ide]() Tags: [agent](), [agents](), [apis](), [build](), [conversation-relay](), [developer-insights](), [external](), [how-to](), [openai](), [openswoole](), [php](), [rest-api](), [tutorial](), [voice]() ### AI overview This tutorial shows how to use PHP and OpenSwoole with Twilio Conversation Relay to build a voice agent that uses LLM tool calling to retrieve live data from an external REST API. It covers project setup, required packages, and storing an OpenAI API key in a .env file. ### Source excerpt In this tutorial, you will use PHP and OpenSwoole to build a voice agent using Twilio Conversation Relay. ## Unpacking My Bags: How I Found Belonging, Scale, and Real-Time Networking at Cisco DevFeed: [Unpacking My Bags: How I Found Belonging, Scale, and Real-Time Networking at Cisco]() Original publisher: [Read original article]() Author: Altanai Bisht Published: 2026-09-10T12:00:13Z Content type: article Language: en Sources: [Cisco Blogs]() Topics: [WebRTC](), [networking](), [real-time](), [Open Source](), [Software](), [Machine learning]() Tags: [be-you-with-us](), [career-growth](), [engineering](), [lovewhereyouwork](), [networking](), [open-source](), [real-time](), [software](), [streaming](), [voice](), [we-are-cisco](), [wearecisco](), [webrtc](), [women-in-tech](), [writing]() ### AI overview Software engineer Altanai B. describes a non-linear career spanning startups, research and development, product engineering, streaming, telecoms, and Cisco. She reflects on her long-standing curiosity about how real-time networked communications work, including writing a WebRTC guide and building an open-source robot using edge machine learning. ### Source excerpt Software Engineer Altanai B. shares her non-linear career journey and how she finally found a place to unpack her bags and belong at Cisco. ## Build more natural voice experiences with GPT-Live-1 in the API DevFeed: [Build more natural voice experiences with GPT-Live-1 in the API]() Original publisher: [Read original article]() Published: 2026-09-10T00:00:00Z Content type: release Language: en Sources: [OpenAI News]() Topics: [voice ai](), [Large Language Model](), [Latency](), [asr]() Tags: [agents](), [api](), [audio](), [gpt](), [latency](), [llm](), [product](), [reasoning](), [release](), [text-to-speech](), [tool](), [voice]() ### AI overview GPT-Live-1 is launching in the API for full-duplex voice applications. The release emphasizes interruption handling, customizable conversational behavior, delegated reasoning and tool calls, long-session reliability, and telephony support. ### Source excerpt GPT-Live-1 brings natural, full-duplex voice conversations to the API, with stronger instruction following, custom voices, and telephony support. ## 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]() Original publisher: [Read original article]() Author: Lenore Files Published: 2026-09-10T00:00:00Z Content type: tutorial Language: en Sources: [Twilio Blog]() Topics: [voice ai](), [real-time](), [API](), [SDKs](), [OpenAI](), [Node.js](), [Python]() Tags: [ai](), [api](), [developer-insights](), [openai](), [real-time](), [tutorials](), [voice](), [voice-ai](), [websocket]() ### 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. ## Visual Studio Code 1.137 DevFeed: [Visual Studio Code 1.137]() Original publisher: [Read original article]() Author: Visual Studio Code Team Published: 2026-09-09T17:00:00Z Content type: release Language: en Sources: [Visual Studio Code - Code Editing. Redefined.]() Topics: [vs-code](), [Automation](), [GitHub](), [GitHub Issues](), [Pull Request](), [GitHub Copilot]() Tags: [2026](), [article](), [automation](), [experimental](), [github](), [github-issues](), [pull-request](), [release](), [updates](), [visual-studio](), [voice](), [vs-code]() ### AI overview Visual Studio Code 1.137 introduces scheduled automations, experimental voice interaction with agents, workspace-attached quick chats, and GitHub issues and pull request details in the Agents window. ### Source excerpt Learn what's new in Visual Studio Code 1.137 Read the full article ## Personalize your product's text-to-speech voice for any language: Fine-tuning with Kubeflow Trainer on Red Hat OpenShift AI DevFeed: [Personalize your product's text-to-speech voice for any language: Fine-tuning with Kubeflow Trainer on Red Hat OpenShift AI]() Original publisher: [Read original article]() Author: Dmytro Hryshchenko, Abhijeet Dhumal Published: 2026-09-09T03:32:28Z Content type: tutorial Language: en Sources: [Red Hat](), [Red Hat Developer]() Topics: [Fine-tuning](), [voice ai](), [Training AI Models](), [Artificial Intelligence](), [distributed-training](), [GPU](), [lora](), [data](), [Open Source]() Tags: [ai](), [artificial-intelligence](), [distributed-training](), [fine-tuning](), [gpu](), [lora](), [open-source](), [speech](), [text-to-speech](), [training](), [voice](), [workflow]() ### AI overview This tutorial explains how to fine-tune the open source Orpheus-3B text-to-speech model for Turkish using Red Hat OpenShift AI and Kubeflow Trainer. It describes packaging distributed training in a TrainJob, scaling across nodes and GPUs, and using LoRA to keep memory usage below 16 GB. The reported result reduces speech errors by more than 90% compared with the base model. ### Source excerpt Can't Read, Won't Buy. That is the title CSA Research gave its survey of 8,709 consumers across 29 countries, and the numbers justify it: 76% prefer to buy in their own language, and 40% will never buy in another. The same rule governs what your product says out loud. The post Personalize your product's text-to-speech voice for any language: Fine-tuning with Kubeflow Trainer on Red Hat OpenShift AI appeared first on Red Hat Developer. ## From AI Agent to Human Agent: ElevenLabs Call Handoffs with Twilio DevFeed: [From AI Agent to Human Agent: ElevenLabs Call Handoffs with Twilio]() Original publisher: [Read original article]() Author: Ricardo Bangueses Published: 2026-09-09T00:00:00Z Content type: tutorial Language: en Sources: [Twilio Blog]() Topics: [Conversational AI](), [voice ai](), [interoperability]() Tags: [ai-agent](), [developer-insights](), [how-to](), [integration](), [interoperability](), [voice]() ### AI overview This tutorial explains how to integrate an ElevenLabs voice agent with Twilio Programmable Voice so the agent can escalate an active call to human-agent routing while preserving call control and useful context. The example uses Twilio Flex as the destination. ### Source excerpt Learn how to integrate an ElevenLabs voice agent with Twilio Programmable Voice for seamless AI-to-human call handoffs, preserving context and call control. ## Flirty OnlyFans promoters on X may be using AI to appear human DevFeed: [Flirty OnlyFans promoters on X may be using AI to appear human]() Original publisher: [Read original article]() Author: Pieter Arntz Published: 2026-09-07T11:18:00Z Content type: article Language: en Sources: [Malwarebytes]() Topics: [AI Chat](), [Script](), [Chat Bot](), [Bot](), [ASCII]() Tags: [ai](), [ascii](), [bots](), [fraud](), [generative-ai](), [messaging](), [onlyfans](), [scam](), [scams](), [scripted](), [threat-intel](), [voice]() ### AI overview An investigation examines X accounts promoting OnlyFans pages that combine repetitive flirtatious scripts with dynamic replies, raising the possibility of generative AI-assisted messaging. It warns that personalized responses and voice notes may no longer reliably distinguish people from automated accounts. ### Source excerpt Personalized replies and voice notes make it increasingly difficult to tell whether you're talking to a human, chatbot, or AI agent. ## Coding Challenge #135 - Voice Dictation App DevFeed: [Coding Challenge #135 - Voice Dictation App]() Original publisher: [Read original article]() Author: John Crickett Published: 2026-09-05T08:01:16Z Content type: tutorial Language: en Sources: [Coding Challenges]() Topics: [Code Challenge](), [Programming](), [AI Development](), [Accessibility](), [Operating system]() Tags: [accessibility](), [ai](), [audio](), [coding](), [os](), [programming](), [ui-automation](), [voice]() ### AI overview A Coding Challenge tutorial for building a private voice dictation app that runs entirely on the local computer. It covers audio capture, local speech recognition, text cleanup, spoken formatting commands, custom dictionaries, history, and inserting dictated text into the focused application without network requests. ### Source excerpt This challenge is to build your own voice dictation app. ## Spring Ring: An Inside Look at Voice Phishing Campaigns in Microsoft Teams DevFeed: [Spring Ring: An Inside Look at Voice Phishing Campaigns in Microsoft Teams]() Original publisher: [Read original article]() Author: Noam Sala Published: 2026-08-31T10:00:36Z Content type: article Language: en Sources: [Unit 42]() Topics: [Social engineering](), [Malware](), [remote access software](), [Microsoft](), [Cloaked Ursa](), [Entra ID](), [Incident response]() Tags: [attacks](), [cloaked-ursa](), [enterprise](), [entra-id](), [incident-response](), [malware](), [microsoft](), [microsoft-teams](), [payload](), [phishing](), [powershell](), [remote-access-trojan](), [social-engineering](), [spoof](), [threat-research](), [vishing](), [voice]() ### AI overview Spring Ring is a coordinated social engineering campaign that used external Microsoft Teams accounts and voice phishing to impersonate IT help desk staff. The operation targeted more than 150 employees across at least 10 companies and attempted to deliver remote monitoring and management tools or custom malware. A more advanced variant escalated to an NTLM relay attack against an organization's domain controller. ### Source excerpt Learn how the Spring Ring campaign abuses Microsoft Teams and voice phishing to deploy malware and target enterprise domain controllers. The post Spring Ring: An Inside Look at Voice Phishing Campaigns in Microsoft Teams appeared first on Unit 42. ## The Four Vendor Relationships Commonly Involved in a Production Voice Feature DevFeed: [The Four Vendor Relationships Commonly Involved in a Production Voice Feature]() Original publisher: [Read original article]() Author: Byte-Sized Design Published: 2026-08-28T21:47:43Z Content type: article Language: en Sources: [Byte-Sized Design]() Topics: [API](), [Large Language Model](), [pii]() Tags: [2026](), [api](), [compliance](), [llm](), [pii](), [pii-redaction](), [production](), [transcription](), [voice]() ### AI overview The article describes how a production voice feature typically involves four vendor relationships: transcription, PII redaction, an LLM provider, and compliance review. ### Source excerpt TLDR A production voice feature in 2026 typically ships with four vendor relationships: a transcription API, a PII redaction step somebody built in a sprint, an LLM provider, and a compliance review stretched across all of it. ## Intelligent transcription with Gemini 3.5 Transcribe DevFeed: [Intelligent transcription with Gemini 3.5 Transcribe]() Original publisher: [Read original article]() Author: Diego Melendo Casado Published: 2026-08-26T17:01:00Z Content type: release Language: en Sources: [Google DeepMind News]() Topics: [asr](), [voice ai](), [Google AI](), [API](), [real-time](), [Streaming](), [Latency](), [Artificial Intelligence]() Tags: [ai](), [analysis](), [analytics](), [android](), [api](), [audio](), [developer](), [developers](), [gemini](), [google](), [google-ai](), [latency](), [macos](), [model](), [none](), [real-time](), [speech](), [streaming](), [transcription](), [voice](), [workflows]() ### AI overview Google introduces Gemini 3.5 Transcribe, a speech-to-text model for accurate, formatted transcription in noisy and specialized audio. Developers can use it through the Gemini API in Google AI Studio and Gemini Enterprise Agent Platform for voice agents, real-time captioning, and post-call analytics. It supports real-time streaming and pre-recorded audio processing, custom vocabulary, speaker attribution, word-level timestamps, and more than 85 languages. ### Source excerpt Now you can get more intelligent speech-to-text transcription with Gemini 3.5 Transcribe. ## Connect v0 apps to Slack, Google, and 100+ other services DevFeed: [Connect v0 apps to Slack, Google, and 100+ other services]() Original publisher: [Read original article]() Author: Vishal Yathish Published: 2026-08-24T00:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [Vercel](), [Slack](), [Google](), [GitHub](), [Notion](), [dashboards](), [Playwright]() Tags: [agent](), [apps](), [browser](), [connectors](), [github](), [google](), [secrets](), [slack](), [tokens](), [vercel](), [voice]() ### AI overview Vercel Connect lets apps and agents built in v0 securely connect to more than 100 services, including Slack, Google, Notion, GitHub, and Salesforce. It provides guided connector setup, reusable team configuration, managed app registration for some services, and short-lived runtime tokens. Examples include a voice-controlled browser agent that generates Playwright code and a dashboard combining Slack, Gmail, and Linear information. ### Source excerpt Apps and agents built in v0 can now securely connect to more than 100 services, including Slack, Google, Notion, GitHub, and Salesforce, through Vercel Connect. Ask v0 to connect your app to a service. It opens the connector setup and guides you through it. You set up each connector once for your team, then reuse it across apps. For managed connectors like Slack and GitHub, Vercel handles app registration, so you don't need to create or configure an app with the provider. For other services, you can provide your own credentials. In both cases, Vercel Connect issues short-lived tokens at runtime, so your application doesn't need to store or rotate long-lived secrets. Using v0 and Vercel Connect, Danny from KERNEL built a voice-controlled browser agent that generates Playwright code to operate a real browser. We built a personal dashboard that brings Slack messages, Gmail, and Linear issues into one view and summarizes what needs attention. Read the documentation or try it yourself in v0: Read more ## Fish Audio models now available on Vercel AI Gateway for free DevFeed: [Fish Audio models now available on Vercel AI Gateway for free]() Original publisher: [Read original article]() Author: Jerilyn Zheng Published: 2026-08-19T00:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [voice ai](), [Vercel](), [asr](), [Streaming](), [Low Latency](), [SDKs]() Tags: [ai-gateway](), [audio](), [browser](), [free](), [launch](), [models](), [sdk](), [speech](), [streaming](), [text-to-speech](), [transcription](), [voice]() ### AI overview Fish Audio's text-to-speech and transcription models are available on Vercel AI Gateway. The models are free for 30 days, with AI SDK 7 support for speech generation and transcription, including timestamped segments and word-level timing. ### Source excerpt Fish Audio's audio models are now available on AI Gateway. To celebrate the launch, every Fish Audio model is free on AI Gateway for the next 30 days, through September 18. Capability Regular Through September 18 Text-to-speech $15.00 per million characters Free Speech-to-text $0.36 per hour of audio Free Four models from Fish Audio are available, including their latest text-to-speech model: fish-audio/s2.1-pro (text-to-speech): Built for low-latency streaming; clones a voice from a reference recording. fish-audio/transcribe-1 (transcription): Returns the text along with the duration of the audio and timestamped segments, down to individual words. fish-audio/s2-pro (text-to-speech): Covers around eighty languages and takes inline tags, plain-language directions written into the text itself, so you can change how a single word or phrase is delivered instead of setting one style for the whole request. fish-audio/s1 (text-to-speech): Reads text that can carry markers for emotion, tone, and sound effects. How to use models during the offer period Using the standard model name (i.e., fish-audio/s2.1-pro) is free, but will automatically begin billing when the offer period ends. To ensure you aren't billed after the free period, add the -free suffix to the standard name, and the model will stop serving when the offer ends (i.e., fish-audio/s2.1-pro-free). Speech and transcription ship in the current AI SDK 7 release. Text-to-speech Generate spoken audio from text with generateSpeech and write the result: Speech-to-text Transcribe recordings into text with transcribe. The audio can be a buffer, a base64 string, or a URL: Each segment carries the text and its start and end time in seconds, down to individual words. Playground You can also try the Fish Audio models without writing any code. Open the models list, click into a model, and send text or audio to hear or read the result in your browser. For a full overview of how to utilize audio models, refer to the speech quickst ## Custom MFA factor: send a second factor through any channel DevFeed: [Custom MFA factor: send a second factor through any channel]() Original publisher: [Read original article]() Author: Atharva Deosthale Published: 2026-08-14T00:00:00Z Content type: release Language: en Sources: [Appwrite Blog]() Topics: [Appwrite](), [MFA](), [Authentication](), [API](), [Node.js](), [Rust]() Tags: [announcements](), [api](), [authentication](), [backend](), [console](), [mfa](), [node](), [rust](), [security](), [voice](), [whatsapp]() ### AI overview Appwrite introduces a custom MFA factor that generates and verifies authentication codes while allowing applications to deliver them through channels such as WhatsApp, voice calls, or internal providers. The article explains how to retrieve the code through a server-side function and deliver it securely. ### Source excerpt Appwrite now supports a custom MFA factor. Appwrite generates and verifies the code, and your function delivers it through WhatsApp, a voice call, or any provider you choose. ## Build Low-Latency Multilingual Voice Agents: Open Weights & Full Deployment Control with NVIDIA Magpie TTS DevFeed: [Build Low-Latency Multilingual Voice Agents: Open Weights & Full Deployment Control with NVIDIA Magpie TTS]() Original publisher: [Read original article]() Author: Maryam Motamedi; Mikyas Desta; Jason Li; Jason Roche Published: 2026-08-10T16:25:36Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [Low Latency](), [Latency](), [voice ai](), [NVIDIA NIM](), [Open Source Models & Datasets](), [asr](), [Conversational AI](), [Large Language Model](), [Automation]() Tags: [agents](), [ai](), [api](), [audio](), [automation](), [conversational-ai](), [data](), [developers](), [infrastructure](), [latency](), [llm](), [low-latency](), [model](), [models](), [nvidia](), [nvidia-nim](), [open](), [speech](), [text-to-speech](), [voice]() ### AI overview This developer article presents NVIDIA Magpie Multilingual TTS as an open-weights, 364M-parameter text-to-speech model for building low-latency multilingual voice applications. It explains how a self-managed cascaded ASR, TTS, and LLM architecture can provide deployment control, tuning, privacy, and predictable performance across 12 languages. ### Source excerpt Build Low-Latency Multilingual Voice Agents: Open Weights & Full Deployment Control with NVIDIA Magpie TTS Every voice interaction has a latency budget. By the time a user hears your application respond, you've already spent precious milliseconds capturing audio, transcribing speech, running an LLM, retrieving context, and generating a response. Text-to-speech (TTS) is the final step -- and the one users notice most. If speech generation is slow, the whole experience feels slow. ## 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]() Original publisher: [Read original article]() Published: 2026-08-03T07:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [voice ai](), [Low Latency](), [Inference](), [model-deployment](), [systems](), [Artificial Intelligence]() Tags: [agents](), [ai](), [architecture](), [audio](), [chatgpt](), [engineering](), [gpt](), [inference](), [latency](), [llm](), [llms](), [low-latency](), [model](), [speech](), [systems](), [text-to-speech](), [voice](), [voice-ai]() ### 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. ## A big win for Android interoperability DevFeed: [A big win for Android interoperability]() Original publisher: [Read original article]() Author: Timothy Nibeaudeau Published: 2026-07-31T00:00:01Z Content type: article Language: en Sources: [Home Assistant]() Topics: [Android](), [interoperability](), [Home Assistant](), [Automation](), [Google]() Tags: [2026](), [android](), [automation](), [developer](), [eu](), [gemini](), [google](), [interoperability](), [news](), [privacy](), [self-hosted](), [voice]() ### AI overview The article describes the European Commission's July 16, 2026 decision under the Digital Markets Act requiring Alphabet to open eleven Android features to all assistants on equal terms. It presents the decision as a result of advocacy by the Open Home Foundation and a significant step toward Android interoperability, enabling capabilities such as always-on wake word detection, ambient sensor access, and screen automation for Home Assistant and other assistants. ### Source excerpt Something big just happened. As the Open Home Foundation's Android developer for Home Assistant, I was invited by the European Commission to consult on Android interoperability. On July 16, 2026, the Commission adopted a decision requiring Alphabet to open up eleven Android features -- including always-on wake word detection, ambient sensor access, and screen automation -- to all assistants, on equal terms. ## Grok Voice Think Fast 2.0: Benchmarks, pricing, specs DevFeed: [Grok Voice Think Fast 2.0: Benchmarks, pricing, specs]() Original publisher: [Read original article]() Author: Aishwari Pahwa Published: 2026-07-31T00:00:00Z Content type: release Language: en Sources: [Appwrite Blog]() Topics: [speech-to-speech](), [Benchmark](), [Latency]() Tags: [2026](), [ai](), [audio](), [benchmarks](), [latency](), [pricing](), [speech-to-speech](), [voice]() ### AI overview This developer article introduces SpaceXAI's Grok Voice Think Fast 2.0, a speech-to-speech model announced on July 29, 2026. It covers vendor-reported benchmark results, latency, pricing, migration, and backend requirements, including 82.9% speech-to-speech quality, 0.70 seconds to first audio, and $0.08 per minute. ### Source excerpt Grok Voice Think Fast 2.0 hits 0.70s time to first audio, 82.9% speech-to-speech quality, and $0.08 per minute. See the benchmarks, pricing, and migration path. [Next page]()