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TEXXR

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Mistral launches Voxtral TTS, an open-source enterprise text-to-speech model that supports nine languages, including Hindi and Arabic, based on Ministral 3B

TechCrunch Ivan Mehta

Discussion

  • @mistralai @mistralai on x
    🔊Introducing Voxtral TTS: our new frontier open-weight model for natural, expressive, and ultra-fast text-to-speech 🎭Realistic, emotionally expressive speech. 🌍Supports 9 languages and accurately captures diverse dialects. ⚡Very low latency for time-to-first-audio. 🔄Easily [video…
  • @vllm_project @vllm_project on x
    🎉 Congrats to @MistralAI on launching Voxtral 4B TTS — enterprise-grade TTS built for production voice agents.  Day-0 support in vLLM Omni.  🌍 9 languages with natural prosody and emotional range 🎙️ 20 preset voices with easy adaptation to new ones ⚡ Ultra-low latency streaming, …
  • @qtnx_ @qtnx_ on x
    Voxtral TTS it out, our first go at voice output, with really strong preference metrics! [image]
  • @mistralai @mistralai on x
    Voxtral TTS is built for global applications supporting 9 languages and powering voice workflows.  ✅ Full audio intelligence: Works with Voxtral Transcribe for end-to-end speech-to-speech, or plugs into any STT + LLM stack.  ✅ Built for business: From customer support to real-tim…
  • @tunguz Bojan Tunguz on x
    I just tried it out, and I am really impressed. So far my favorite AI TTS. Not as many options as some other systems, but the voice is exceptionally smooth and humanlike.
  • @alex_h_liu Alexander H. Liu on x
    Both happy and sad to share my farewell project at Mistral 😭 Just amazing team and work Tech report is also available https://mistral.ai/...
  • @slowdownisha Isha on x
    Mistral just dropped an open-weight TTS model: ~70ms latency ~10× real-time generation Voice AI infra is going open. [image]
  • @mistralai @mistralai on x
    State-of-the-art performance. In zero-shot custom voice tests, Voxtral TTS outperformed ElevenLabs v2.5 Flash - judged by native speakers for naturalness, accent accuracy, and similarity to the original voice. [image]