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Introducing Moonshine Web: real-time speech recognition running 100% locally in your browser! 🚀 Faster and more accurate than Whisper 🔒 Privacy-focused (no data leaves your device) ⚡️ WebGPU accelerated (w/ WASM fallback) 🔥 Powered by ONNX Runtime Web and Transformers.js
27,878 views • 1 year ago •via X (Twitter)
11 Comments

Huge shout-out to the Useful Sensors team for such an amazing model and to @waelyasmina for his 3D audio visualizer tutorial! 🤗 🧑💻 Source code: 🔗 Online demo:

Announcing: Our most advanced speech-to-text model goes beyond accuracy to capture the real-world complexity of human conversation and deliver reliable, source-of-truth audio data. Explore Universal-2 updates 👇

How does it compare to whisper v3 L wrt speed ?

The one man army strikes again!

❤️

well damn

say what??? I will be testing this to see if i can add it to voice notes for what I'm building right now. Great work!

This is cool

This looks so good. Is Moonshine Base multilingual or English? Using Whisper w/TF and will have to play with this.

The current generation of Moonshine models are English-only, but maybe the Useful Sensors team is planning on a multilingual model in future? 😁 @keveman

WOW! Really cool!
