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🎙️Designing a speech-to-speech assistant Build a speech-to-speech assistant with web search access in 150 lines of code. - Voxtral Transcribe 2 for STT + diarization - Mistral Small 4 for agentic reasoning & efficiency - Voxtral TTS for realistic speech synthesis

18,311 görüntüleme • 7 ay önce •via X (Twitter)

11 Yorum

Mistral for Developers profil fotoğrafı
Mistral for Developers7 ay önce

⚙️From STT to our Agent and TTS, pick the best model for your use case and build your own real-time, speech-capable system.

Mistral for Developers profil fotoğrafı
Mistral for Developers7 ay önce

👐Learn more about our audio models - and how to build such pipeline - in the blog post below.

miguel rodriguez profil fotoğrafı
miguel rodriguez7 ay önce

Had a great mistral event today where they showed plenty of features and some interesting use cases. Will proceed with the local integration at Robot Ross: reacts to voice commands. A French accent in a robot just sounds cool.

LightShift Studio profil fotoğrafı
LightShift Studio7 ay önce

Why are you still acting like an old-school phone operator? 🤖 Check out our quick, easy-to-build AI assistant template!

東雲たく profil fotoğrafı
東雲たく7 ay önce

Is it possible for us to run Mistral Small4 and Voxtral TTS on WebGPU?

Raphaël Guintoli profil fotoğrafı
Raphaël Guintoli7 ay önce

Alé mistral

Zer0Z profil fotoğrafı
Zer0Z7 ay önce

and if i want the agent to have my own voice, how do i clone it without online api?

Hyper.AI profil fotoğrafı
Hyper.AI7 ay önce

Building a full S2S assistant in just 150 lines is a massive achievement for dev productivity! 🎙️ The combination of Voxtral for high-fidelity speech and Mistral Small 4 for reasoning makes for an incredibly efficient pipeline.

Victor Peghaire profil fotoğrafı
Victor Peghaire7 ay önce

😍

Carolina profil fotoğrafı
Carolina7 ay önce

Nice stack for a real time S2S pipeline, a solid path to scalable voices and fast web results

cCross profil fotoğrafı
cCross7 ay önce

Nice mix, curious how web search latency holds up

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