Thomas Lidy: “You choose the playlist that you’ve created on Spotify, and then it tells you something about you. I must say it got him correctly”.Read More
Thomas Lidy: “The human choice is still not fully objective, but at least we try to get the coherent taxonomy of genres and moods where you can attach a song to multiple of those without the necessity and saying you are in this box, and you are in this box”.Read More
Thomas Lidy: “Data is everything, and you just feed enough data to an AI and you will get out what you wish, your AI of your dreams. I don’t fully believe in this. I believe there’s a lot of human steps in this even on the data center side”.Read More
Thomas Lidy: “Our aim here is not directly to map out the people’s emotion from the music directly, but to analyze the first step moods in the music. We have created a taxonomy that we think is good that can be used uniquely to describe moods in music”.Read More
The Belgian B2B music AI company Musimap is backed by 20 years of human research combined with audio-processing and AI.
Thomas Lidy: “They didn’t know much about AI when they started. First they wanted to do this manual, mapping out the music’s world. That’s why they are named Musimap because they literally wanted to create a map of music”.Read More
Bridging the Gap Between Academia and Industry: From Vienna University of Technology – Music Information Retrieval Research – Spectralmind – #Music Bricks – To Musimap.
Thomas Lidy: “My first startup here Spectrum. I didn’t make it, and we had to close down after five years which was a very exciting ride with a lot of learnings”.Read More
Thomas Lidy: “Base don Ai and data science we trained AI based on music experts knowledge. Here we talk about semantic audit analysis which mean we usually start with analyzing the signal in the music. There are platforms out there which relay fully on just user interaction like thumbs up thumbs down or how people react to playlists”.Read More
Thomas Lidy: “It’s a European initiative, and it is a very interesting blend of technical partners research partners and music industry partners”.Read More
Thomas Lidy: “I was probably not meant to have a career as a musician. Later on I pursued computer science and specialized on music analysis because here I could finally combine the interest of computers and music, which was indeed very interesting”.Read More