AI in Action E19: Peter Diehl, CEO and co-founder at Audatic


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Welcome to episode 19 of AI in Action, the podcast that breaks down the hype and explores the impact that Data Science, Machine Learning and Artificial Intelligence are making on our everyday lives.

Powered by Alldus International, our goal is to share with you the insights of technologists and data science enthusiasts to showcase the excellent work that is being done within AI in the United States and in Europe.

Today’s guest is Peter Diehl, CEO and co-founder of Berlin startup Audatic. Audatic are building systems to intelligently modify sound using state of the art deep learning technology and unique datasets.

Their personalized sound environment allows users to customize sounds to their individual taste. Applications include effortless interactions in noisy places (especially for people with hearing impairments) and realistic audio-environments for augmented reality.

In order to create real-time systems that run on mobile devices, Peter and his team of experts are combining cutting-edge algorithms for efficient implementation of deep neural networks with novel deep learning techniques for detecting, filtering and modifying sound.

In the episode, Peter will tell you about:

  • Audatic’s breakthroughs in speech enhancement
  • Tools and Techniques used to build their personalised audio product
  • Challenges they need to overcome
  • How personalised audio can enhance the gaming experience
  • Plans to roll out their product to the public
  • Exciting trends in audio and machine learning
  • The best part of working in an AI Startup

To find out more about Peter and Audatic’s incredible work, check out their website You can also give Peter a follow on Linkedin.

What did you make of Peter’s podcast? Where do you see the future of Artificial Intelligence heading in the next few years? We would love to hear your thoughts on this episode, so please leave a comment below.

If you would like to hear more from AI in Action then please subscribe and don’t forget to like and share with your friends on social media.

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32 episodes available. A new episode about every 7 days averaging 19 mins duration .