Keeping the Human Voice in AI Translation With DeepL
Tech Talks Daily

Keeping the Human Voice in AI Translation With DeepL

B2Upper-intermediateOctober 21, 202627 min
  • Interview
  • Technology

What happens to a good idea when the person who understands the problem best cannot express it confidently in the language used by the rest of the team? In this episode of Tech Talks Daily, I speak with Gonçalo Gaiolas, Chief Product Officer at DeepL, about real time voice translation and the work required to make a multilingual conversation feel natural. Our discussion moves from the business cost of language barriers to the technical choices behind speaker identity, tone, speed, and the handling of sensitive meeting data. Gonçalo begins with a cost that is...

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But Denodo makes sure your business has every avenue covered. By placing all your data platforms

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0:00

Your agentic AI might not be secure even with real-time data and proper guardrails. But Denodo makes sure your business has every avenue covered. By placing all your data platforms under one AI data layer, your business can reach semantic consistency safely and securely. So get your agents on the same page by visiting denodo.com.

0:27

And you can learn more about how to start trusting your agents to make business decisions. But now, back to today's guest. What does a business lose when the person with the best answer cannot express it confidently in the language that everybody else is using? This is something that I've seen time and time again

0:51

in corporate settings, especially between those meetings with stakeholders and techies. Well I guess today is from a company called Deep L, and together we're going to discuss what real-time voice translation could change for global teams. We talk about the details that make a conversation more human, from hesitation and emphasis to recognising who is speaking.

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