#Voice

AIGoogle is rolling out Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking across several channels. Consumers get them in Search Live and Gemini Live, developers get public preview access through the Gemini API, and enterprises get private preview through Gemini Enterprise, with Customer Experience support coming soon.

Why it matters: The post lays out where each Gemini 3.8 Live variant reaches consumers, developers, and enterprises, which clarifies access paths for a voice model release.

AIGoogle DeepMind introduced Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking, two live dialogue models for voice agents. Extended Thinking scores 82.6 on Artificial Analysis' Speech to Speech Quality Index, 68.6% on τ-Voice, and 97.7% on Big Bench Audio. Gemini 3.8 Live is rolling out now in the Gemini API, Google AI Studio, and Search Live, with enterprise access in private preview.

Why it matters: The release covers a voice model's benchmark results and availability across developer, enterprise, and consumer products, useful for judging voice agent options.

AIGoogle introduces Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking, two live dialogue models for voice agents that reason and speak simultaneously. The Extended Thinking version scores 82.6 on Artificial Analysis' Speech to Speech Quality Index and 97.7% on Big Bench Audio, while 3.8 Live targets scale and cost efficiency. Developers can access both through the Gemini API in Google AI Studio, and enterprise and consumer rollouts vary by product.

Why it matters: The source names the two models, their access paths, and specific benchmark results, showing how the voice agent capabilities differ between the two tiers.

AIGoogle reports that its technologies and products now power everyday interactions in more than 300 languages used by over 7 billion people, about 86% of the global population. The post describes new speech models, including Gemini 3.5 Live Translate and Gemini 3.5 Transcribe, plus the TranslateGemma open translation models trained across 55 languages.

AILM Studio's Bionic 1.1.3 release adds voice transcription on Apple Silicon Macs and PCs with NVIDIA GPUs. AMD support is in development, according to the post.

AIGoogle has made two audio-to-audio models, Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking, generally available through the Live API. Gemini 3.8 Live, model ID gemini-3.8-live, is the default for low-latency voice agents, with interleaved reasoning and asynchronous function calling. Gemini 3.8 Live Extended Thinking, model ID gemini-3.8-live-extended-thinking, supports background reasoning during live audio and is recommended when more reasoning is needed.

Why it matters: The changelog names two model IDs and their intended use, showing how Live API developers can choose between low-latency voice and higher background reasoning.

AIMustafa Suleyman points readers to a Microsoft AI page about the MAI-Transcribe-2 model. The post itself gives no details on capabilities, benchmarks, or availability beyond the link.

AIMicrosoft's Mustafa Suleyman shared a link to try MAI-Transcribe-2 on OpenRouter. The post provides no further details on the model's capabilities, specifications, or pricing.

AIOpenAI has made GPT-Live-1 available in the API, letting developers build voice apps on the same duplex technology used in the new ChatGPT voice. The quoted announcement says the voice agents can listen while they speak and work with the models and harness developers choose.

AIGPT-Live-1 is now available in the API, letting developers bring ChatGPT-style back-and-forth conversation into their apps. The quoted announcement says the voice agents can listen while they speak and can work with the models and harness developers choose.

Why it matters: The quoted announcement describes a real-time voice model entering the API, which matters for builders weighing voice agents against existing stacks.

AIMicrosoft released Azure AI Speech LLM 2607, which improves multilingual recognition, mixed-language audio handling, and domain-specific entity accuracy, and runs up to 3x faster than the previous 2605 release. A new dedicated phrase list parameter lets developers supply domain vocabulary, supporting 2,000+ entities, without embedding it in a prompt. The model is available through the Fast API and Real-Time API, is testable in the Foundry Playground, and is deployed automatically with no customer action required.

AIMicrosoft Foundry's July and August 2026 updates make Hosted Agents, Voice Live integration, and Toolboxes generally available. The post adds Claude tools on Azure, Model Router region and model pool changes, Foundry Local preview features, and updated Python, JavaScript, Java, and .NET SDK versions with migration notes.

Why it matters: The roundup links each GA and preview change to code examples, migration notes, and runtime requirements, which helps developers judge what to upgrade and test first.

AIOpenAI's ChatGPT Voice can now use GPT-6 Astra, available to Pro users, for search and reasoning tasks. Users can select any model and effort level, and voice will use the chosen model when it needs to search or reason.

AIBAAI and Hao Tang's team at Peking University's School of Computer Science released GaussianMind, an audio-language model built on RoboBrain and OpenMOSS Audio. The model is available on Hugging Face and loads through custom Transformers code with trust_remote_code=True.

AIGoogle has made Lyria 3.5 generally available through the Gemini API, offering full-length song generation with improved musical coherence, natural vocals, and fine-grained control over duration and structure. The model model accepts text and image inputs and outputs high-fidelity 44.1 kHz stereo audio.

AIFunAudioLLM has released Fun-ASR-Nano-2512-vllm, a vLLM-native packaging of the official Fun-ASR-Nano-2512 checkpoint, with weights bitwise equal to the source and no new LoRA weights. The validated path runs on vLLM 0.27.1 with float32 through an OpenAI-compatible transcription endpoint, tested on one NVIDIA H100 80 GB GPU. The source-licensed model is Apache License 2.0, and other vLLM versions, accelerators, and quantizations require separate validation.

AIThe post links to a Google blog page about Gemini 3.5 Transcribe, presented as a model developers can start building with. The post itself gives no benchmark scores, pricing, or capability details beyond the link.

AILiveKit announces that developers can build voice agents using Grok Voice models, with full ZDR support. LiveKit's example patient intake agent cascades Grok STT, Grok 4.3, and Grok TTS through LiveKit Inference in a single AgentSession, with no separate API key or billing.

AIxAI has made Grok Voice Think Fast 2.0 available through its API and in the Agent Builder for building voice agents. Developers can build, tune, and deploy voice agents at console.x.ai, with more details in the linked announcement.

AIStarlink is using Grok Voice to handle over 15,000 inbound customer support and sales calls per day. Grok diagnoses hardware issues, ships replacements, and fulfills over 3,000 orders a week across voice calls and chat.

AITinker announces Coco, a local assistant that proactively offers help when users are unsure what to ask, with a voice interface powered by Inkling on Tinker. According to the background post from @EchoShao8899, the voice trigger is a "Hi Coco" feature, and the part was open-sourced first.

AIManus has launched an ElevenLabs connector that lets users generate speech, transcribe recordings, clone voices, and build audio apps through a single chat. Users connect their authorized ElevenLabs account via Integrations, and audio is processed within their own ElevenLabs environment according to its policies. Availability depends on users having an active ElevenLabs account, with capabilities tied to their ElevenLabs plan and credit balance.

AISkywork's first batch of its Skywork Note AI hardware device sold out one week after launch, prompting an accelerated rollout of the wider family, including the recording clip, the Recall pendant, and the TriRing AI ring. The company says the device is meant to capture real-world conversations and moments outside the screen, so users spend less time typing and more time away from it.

AIEthan Mollick's guide says ChatGPT and Claude are the main choices for real work, since their agent modes can act on a computer. He separates agent modes that run on the company's computers from those that access the user's own computer. He recommends keeping approval settings on for sending, spending, or deleting, because of prompt injection risk. He also notes that Gemini currently lags for agentic work, though its Notebook and video tools are useful.

AIAndrej Karpathy describes using /voice to ramble for about 10 minutes, sometimes as a short interview, to give an LLM context that would be tedious to type. He says LLMs reconstruct these messy streams of thought remarkably well, often returning a cleaner version than the speaker started with, which improves shared understanding and reduces later corrections.

AISable has created "Aidan," an AI employee that leads customer calls using vision, voice, video and real-time browser interaction. Frontier companies including Notion and Decagon are already using Sable to explain their products, and more than 150 companies are on its waitlist. Sequoia Capital led Sable's seed round and co-led its Series A.

AIThinking Machines has released Inkling, a model that natively understands and reasons across text, audio, and images. It is particularly strong on audio, ranking among the top open-weights models on VoiceBench, MMAU, and AudioMC.

AIQwen released Qwen3-ForcedAligner-0.6B-hf, a Transformers-format forced aligner that predicts timestamps for arbitrary units within up to 5 minutes of speech in 11 languages. The model accepts transcripts from any ASR system, and the documentation shows it paired with Qwen3-ASR-0.6B and NVIDIA Parakeet CTC. Until it ships in an official Transformers release, users must install Transformers from source.

AICohere and Cohere Labs released Cohere Transcribe Arabic, an open-source 2B-parameter Arabic automatic speech recognition model under Apache 2.0. It is optimized for Arabic, Arabic dialects, English, and Arabic-English code-switched speech, using a Conformer encoder-decoder architecture supported natively in Transformers. The model's average WER of 25.87 and CER of 11.80 on the Open Universal Arabic ASR Leaderboard, as of 07.07.2026, is reported in the source.