Visualizing music with machine learning
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Visualizing music with machine learning

In April 2018, the month Avicii died, I tried to get a new understanding of the developments in his music. The journey started as a research project in which I leverage the Google Cloud Natural Language API to analyse songs for sentiment. It ended as a unique way to visualise emotion in music.

Tags: EMO

All talks:

Engineering machine learning applications AI is not ready for use - Design and build models with less data, and more thought Moral programming: ethics at the front door World modeling in automated driving Music enabled running Towards a vision on micro-credentialing and open badges How does your computer understand your facial emotions? Why bots need emotions Machine vision-driven manufacturing automation in the factory of the future Automated guided vehicles in the factory of the future Let’s work together: How your co-bot can become a trusted colleague Becoming the data science department of 400000 SMEs TamaCoachee: a virtual coachee in your pocket Robots with character: What we can learn from Disney to develop more intuitive products How smart industry? Let’s talk about griefbots Visualizing music with machine learning Creativity meets artificial intelligence SMILEI: Five steps to design emotional game mechanics Demystifying AI Cyber security in smart industry? Using cobots for testing of navigation systems Use bots to get insights! AI: a Call to action
Erik Driessen
Erik Driessen

About Erik

I am a digital analyst by profession and digital explorer on the side. I work on personal projects that force me to use new technologies.