6. Musimap’s Emotional AI: Decoding the DNA of Music by combining human emotions and AI to gain insight into music consumption. In conversation with Thomas Lidy, Chief Innovation Officer Musimap.
6. Musimap’s Emotional AI: Decoding the DNA of Music by combining human emotions and AI to gain insight into music consumption. In conversation with Thomas Lidy, Chief Innovation Officer Musimap.

Episode 6: In conversation with Thomas Lidy, Chief Innovation Officer Musimap.
Musimap's Emotional AI:
Decoding the DNA of music by combining human emotions and AI to gain insight into music consumption.
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My guest today is my friend Thomas Lidy. We met in Athens 2018, when I was involved in the European Horizon 2020 research project FuturePulse through Soundtrack Your Brand. Thomas is from Vienna Austria and has been active in semantic audio analysis and AI-based music recognition since 2004. He has a Master of Science and has pursued a PhD in computer science (which he has not finished, though) from Vienna University of Technology, where he also started his research career, focusing on Music Information Retrieval.
Previously, Thomas was the founder and CEO of the music discovery startup Spectralmind. Today, he is the Chief Innovation Officer at Musimap, a company combining human knowledge and AI to gain insight into music and music consumption. Musimap owns one of the largest annotated music databases in the world.
Together with his team of musicologists and data scientists, he has created an emotion-aware music AI that is able to analysis both music and people based on their emotional signature in order to enhance music recommendation and enable completely new branding opportunities with a deep link to people’s music preferences. Thomas is the creator and co-host of the successful Vienna Deep Learning Meetup, He has also co-organized AI Summit Vienna 2017 and has published over 40 publications in the field of music analysis & AI. In this episode, Thomas and I discuss the ins and outs of Emotional AI and music analysis and recommendation.
Musimap | Emotional AI | DNA Music | Music Consumption | FuturePulse



"Our goal is to becoming the “Ultimate Music Assistant” by decoding the DNA of music.".
SOUNDBITES
#1 How Thomas Lidy’s Combined Passion for Computers and Music Brought Him to Become one of the World’s Top Experts in Music AI. (03:42 )
#2 How FuturePulse is Empowering the Music Industry with Predictive Analytics on Artists, Tracks, Playlists and Genres with just a Few Clicks. (05:30)
#3 Semantic Audio Analysis and Music Recognition Explained. (13:25)
#4 Bridging the Gap Between Academia and Industry: Vienna University of Technology -> Music Information Retrieval Research -> Spectralmind -> #Music Bricks -> Musimap. (18:22)
#5 The Successful Foundation of the Belgian B2B Music AI Company Musimap is Backed by 20 years of Human Research Combined with Audio-Processing and AI.(23:40)
#6 Becoming the “Ultimate Music Assistant” by Scientifically Decoding the DNA of Music. (26:26)
#7 A“Humanized” Algorithm = a Human Fused AI + Feedback Loops. (34:19)
#8 Is a Universal Music Taxonomy Possible? (38:57)
#9 MusiMe: You are What You Listen to. Your Spotify Playlists Reveal Your Personality. Try it Out. https://yawylt.musimap.io/(45:13)
#10 How Emotional Artificial Intelligence Music is Revolutionizing Audio Branding, E-Commerce and the Dating Industry. (54:11)
How FuturePulse is empowering the music industry with Predictive Analytics.
Thomas Lidy: "It's a European initiative, and it is a very interesting blend of technical partners research partners and music industry partners".
How FuturePulse is empowering the music industry with Predictive Analytics.
Semantic audio analysis and music recognition explained.
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...
Semantic audio analysis and music recognition explained.
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...
Bridging the Gap Between Academia and Industry: From Vienna University of Technology – Music Information Retrieval Research – Spectralmind – #Music Bricks – To Musimap.
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...
The Belgian B2B music AI company Musimap is backed by 20 years of human research combined with audio-processing and AI.
Becoming the “Ultimate Music Assistant” by scientifically decoding the DNA of music.
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...
Becoming the “Ultimate Music Assistant” by scientifically decoding the DNA of music.
A“humanized” algorithm = a human fused AI + feedback loop.
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...
A“humanized” algorithm = a human fused AI + feedback loop.
Is a Universal Music taxonomy possible?
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...
Is a Universal Music taxonomy possible?
MusiMe: You are what you listen to. Your Spotify playlists reveal your personality.
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".
MusiMe: You are what you listen to. Your Spotify playlists reveal your personality.
MusiMe: You are what you listen to
Quincy Jones and Musimap to refashion music consumption with the psychographic profiling engine of MusiMe …
Quincy Jones’ songs appear as conveying good vibrations, with an intent to share, with energy and enthusiasm, enclosing positivity, freedom, comfort and care (nourishment). They are imprinted with love, with important seductive & sensuality dimensions, romantic with a touch of femininity, with a hint of spirituality and harmony. They contain a bit of extroversion, self-confidence and a somewhat flashy attitude. They have a strong anchorage (roots), are organic and slightly tribal.
MusiMe classifies Quincy Jones as an « Entertainer, Performer » following the MBTI model. He is of the ESFP type, with a focus on extroversion; sensing, feeling and perceiving the world intensely. His way of facing life is « Demonstrative ». His « temperament Family » is the one of the « Tactical Artisan » kind, with a strength on « Sensation and Perception ». According to the results, Quincy Jones permanently seeks the joy of living, is people-oriented, appreciates a lot materialistic comfort, has a constant need for stimulation and pursues out of the common experiences. He is a seducer, wants to be admired by others and can enjoy spending and showing off from time to time. He is a generous person, likely to offer gifts to his partners. He has absolutely no desire to control others but needs to feel free as well. He is a very good listener and wants to be surrounded with people who resemble him. On the weakness side, Musimap’s engine points out that he might be procrastinating at times, with a lack of focus and that he is hyperactive and reckless.
This is what you listen to (related to MusiMotion): https://tiwylt.musimap.com
You are what you listen to (related to MusiMe): https://yawylt.musimap.io
Musimap Mood taxonomy: https://moods.musimap.net
FuturePulse
Research by Thomas Lidy
Read moreMusic is one of the fastest evolving media industries, currently undergoing a transformation at the nexus of music streaming, social media and convergence technologies. As a result, the music industry has become a mixed economy of diverse consumer channels and revenue streams, as well as disruptive innovations based on new services and content distribution models. In this setting, music companies encounter daunting challenges in dealing successfully with the transition to the new field that is shaped by streaming music, social media and media convergence. The availability of huge music catalogues and choices has rendered the problems of recommendation and discovery as key in the competition for audience, while the continuous access to multiple sources of music consumption have resulted in a dynamic audience, characterized by a highly diverse set of tastes and volatility in preferences which also depend on the context of music consumption.
To serve the increasingly complex needs of the music ecosystem, FuturePulse will develop and pilot test a novel, close to market music platform in three high-impact use cases:
The project will help music companies leverage a variety of music data and content, ranging from broadcasters (TV, radio) and music streaming data, to sales statistics and streams of music-focused social media discussions, interactions and content, through sophisticated analytics and predictive modelling services to make highly informed business decisions, to better understand their audience and the music trends of the future, and ultimately to make music distribution more effective and profitable. FuturePulse will offer these capabilities over a user-friendly, highly intuitive and visual web solution that will enable the immersion of music professionals in the realm of music data, and will support them to make highly informed and effective business decisions.
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Thomas Lidy – one of the world’s top experts in AI Music revolutionizing the music-tech industry.
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...
Thomas Lidy – one of the world’s top experts in AI Music revolutionizing the music-tech industry.