Welcome to episode 93 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 Europe.
Today's guest is Roman Gebhardt, Head of Data Science at Cyanite.ai in Berlin. Founded in 2019, Cyanite is the Music AI company that supports you to understand your music at a glance. They combine the three dimensions of music, emotion and situation to help quantify and visualise emotional parameters within songs backups decision making, make managing music more efficient and revolutionize the way, similar music is recommended.
Cyanite aim to empower any player in the music industry to successful music projects by accelerating the decision process and giving objective support when communicating those decisions. They build human-centred solutions for production music libraries, A&Rs, artists, promoters or any other professionals working with music. Next to a free-to-use web application and an API, they also offer customised solutions to implement AI in the workflows of music organisations.
In the show, Roman will share with you:
Cyanite’s work within music and mood analysis
The challenges of building up the company
How they stand out from the competition
Creating their similarity search and recommendations
The capabilities of GAN’s in music production
The potential for XAI in audio neural networks
What did you make of Roman's podcast? Where do you see the future of Artificial Intelligence and Machine Learning heading in the next few years? We would love to hear your thoughts on this episode, so please leave a comment below.
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