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#Voice

Oct 8

  1. Xiaomi MiMoAI score63

    Xiaomi releases MiMo-V2.5-TTS series of speech synthesis models

    AIXiaomi released the MiMo-V2.5-TTS Series, three speech synthesis models for stock voices, voice design, and voice cloning. The models accept natural-language style instructions and inline audio tags, and the source says the three models are free of charge for a limited time on the Xiaomi MiMo API platform. Xiaomi also open-sourced integration Skills for agent applications on GitHub.

    Why it matters: The release shows how a TTS family adds style instructions, inline audio tags, and voice design or cloning to speech synthesis, which matters for agent and creative workflows.

Sep 23

  1. Google DeepMindAI score60

    Google DeepMind launches Gemini 3.8 Flash TTS and Flash-Lite TTS models

    AIGoogle DeepMind introduced Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS, text-to-speech models offering custom voice design, line-by-line performance control, and multilingual support across more than 100 languages. Flash TTS is rolling out to developers in the Gemini API and Google AI Studio and to everyone in Gemini Notebook, while Flash-Lite TTS is available to developers and in Google Vids. Voice replication requires consent verification, and generated audio carries SynthID watermarking.

    Why it matters: The source details the voice design, performance direction, and consent safeguards, showing how the model covers creative and high-volume use cases with access across several Google products.

Sep 15

  1. Google DeepMindAI score72

    Google DeepMind releases Gemini 3.8 Live models for real-time voice agents

    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.

  2. Google AI StudioAI score72

    Google launches Gemini 3.8 Live and Extended Thinking voice models

    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.

Mar 17

  1. Xiaomi MiMoAI score71

    Xiaomi releases MiMo-V2-Omni, an omni-modal model for agentic tasks

    AIXiaomi introduces MiMo-V2-Omni, a single model that fuses image, video, and audio encoders into a shared backbone with native tool calling and UI grounding. The company reports benchmark results against Gemini 3 Pro, Claude Opus 4.6, and GPT 5.2, and demonstrates browser-based shopping and video-publishing workflows run through the OpenClaw agent scaffold. It also states the model supports over 10 hours of continuous audio understanding.

    Why it matters: The page gives benchmark comparisons, a driving-risk demo, and browser-task walkthroughs, letting readers check how far the omni-modal claims extend into agent use.

Jan 21

  1. Mistral AI · new models on Hugging FaceAI score65

    Mistral releases open-weight Voxtral Mini 4B Realtime 2602 speech model

    AIMistral AI released Voxtral Mini 4B Realtime 2602, a multilingual realtime speech-transcription model with 13 supported languages under the Apache 2.0 license. The model has a configurable transcription delay from 240ms to 2.4s, and it matches leading offline open-source models at a 480ms delay. The source says it is optimized for on-device deployment and is currently supported only in vLLM.

    Why it matters: The source specifies the 480ms delay operating point, 4B size, Apache 2.0 license, and vLLM serving path, which matter for teams weighing realtime transcription deployment.

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