AI in Action E31: Dagmar Schuller, CEO and co-founder at audEERING 


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Welcome to episode 31 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 Dagmar Schuller, CEO and co-founder at audEERING. Based in Munich, audEERING develop next-generation, intelligent audio analysis algorithms and provide consulting services to help you integrate state-of-the-art audio analysis technology into your products and your workflow.

audEERING’s core products include speech analytics such as emotion recognition from the voice, speech enhancement, and revolutionary vocal/voice activity and gender detection. With the popular open-source speech and emotion analysis framework openSMILE, they build numerous proprietary solutions in intelligent speech, music and sound analysis for customers.

In the show, Dagmar will tell you about:

  • audEERING’s ground-breaking work in audio intelligence
  • The inspiration for setting up audEERING
  • The benefits of speech analysis and audio intelligence in society
  • Challenges of working with such large amounts of data
  • What’s in store for the near future at audEERING
  • How AI will further impact audio and speech analysis

To find out more about Dagmar and the interesting work at audEERING, check out the website You can also follow them on Twitter @audEERING and connect with Dagmar on Linkedin.

What did you make of Dagmar’s podcast? Where do you see the future of Artificial Intelligence and Data Science 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 .