"Just delivering the best text translation doesn't really solve it." When it comes to voice translation, you don’t just need a model that’s accurate. You need a model that knows the exact, best moment to deliver a translation.
This is our Head of Voice Leo Doin explaining to AI expert
@thealexbanks why DeepL Voice performs so strongly in blind tests on real-time translated captions.
When AI grasps the rhythm of how people speak, it can determine the best moment to translate, without waiting for the end of a sentence. And without having to go back to correct itself. That’s how we create text translations of multilingual meetings that balance accuracy and stability, and give people the confidence to participate fully, no matter which language they speak.