""After spending so many years in text translation, voice was a natural step for us. We have come a long way when it comes to text translation and document translation. But we thought there wasn't a great product for real-time voice translation.""
""The challenges in creating a real-time translation product center on striking a balance between reducing latency - the delay between someone speaking and the translated audio playing back - and maintaining accurate results.""
""AI is reimagining what customer service will look like in the coming years. A translation layer helps companies provide support in languages where qualified staff are scarce and expensive to hire.""
DeepL introduced a voice-to-voice translation suite designed for meetings, mobile conversations, and group interactions, particularly for frontline workers. The suite includes an API for developers to create customized applications. CEO Jarek Kutylowski emphasized the challenges of balancing latency and accuracy in real-time translation. Add-ons for platforms like Zoom and Microsoft Teams allow users to hear translations or view them on screen. The technology can adapt to specific vocabulary, enhancing its utility in diverse settings.
Read at TechCrunch
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