Hooked on Music: Algorithmically Predicting Catchy Music - Maarten Brinkerink | Sound and Vision
Within the COGITCH project the Netherlands Institute for Sound and Vision, University of Amsterdam, Utrecht University, and Meertens Institute worked on the computational analysis of music. The name refers to the ‘cognitive itch’ that is caused by ‘earworms’: fragments of music that you cannot get out of your head, no matter how hard you try! Musical salience and memorability of musical fragments play an important role in COGITCH.
Through a 'citizen science' approach (hookedonmusic), Dr John Ashley Burgoyne, and his team used the first results to identify the Spice Girls' 'Wannabe' as one of the most memorable songs of all time and highlighted the exceptional importance of melody in forming musical memories.
During this talk we will present an analysis of the Dutch representation in the SXSW Music program, predicting the ‘catchyness’ of songs in the repertoire of the respective artists. This prediction is the result of applying the content analysis algoritm that resulted from the COGITCH project.
Maarten will be accompanied by Ard Boer from the Dutch startup Goldmund Wildebeast & Wunderliebe, also working in the area of predictive analytics.
How can we use Machine Learning and Artificial Intelligence to predict the hits of the future before they reach the charts? In order to do this, patterns need to be found. For example, which radio stations have the most influence? What key values should a song contain? The amount of patterns to discover are as good as endless. Webagency Goldmund, Wyldebeast and Wunderliebe is currently developing such a system for predicting Spotify Chart entries by using airplay statistics from Radio Radar. Ard will showcase the HitWizard tool and learnings of the limits and possibilities of AI and ML.
Augmented festivals - Klasien van de Zandschulp | Lava Lab
How can augmented reality enrich our social experiences? How can we enable new interactions on the dance floor using mobile technology? How do we unlock dance floor stories?
Klasien van de Zandschulp (Lava Lab) will speak about using technology to create social interactions and new art forms in a performance or festival setting. Like the first virtual festival 'Zo niet, dan toch', a festival transformed to a new stage where everything is allowed: the virtual space, and the social music and networking game DuoDisco.
Deep learning for you and me - Robert Nabbe | Chordify
Chordify is a free online music service that transforms music from YouTube, Deezer, SoundCloud or a private collection, into chords. Make it as easy as possible to play along with the song you wish to play.
Chordify distinguishes itself in two fundamental ways, they figure out the chords of a song using state-of-the art technology and it is extremely easy to use. 1 in 10 people on this planet plays an instrument and for Chordify that is a huge market, they welcome 1,5 million visitors each month and they have ‘chordifyed’ 4,5 million tracks.
Chordify has the ambition to become the number one platform to learn your favorite music. In order to achieve this ambition, they focus on three important product developments in the near future. Chordify wants become more social by allowing users to store, share and collect their practicing history and their music preferences. For artists to engage more with their fans, Chordify made it possible to embed the Chordify experience into their own website. One of the key technologies to realize these ambitions is the use of deep learning, a form of machine learning.
In this double interview two leading Dutch companies working in the value chain of events (ticketing and technical production) will share their vision on how they build and expand their brands worldwide. One by being literally invisible, and the other by being adaptive in all their veins. That’s sounds promising, right!?
With Paylogic CEO Jan-Willem van der Meer we have a fireside chat on the possibilities of new technologies for a better and richer relationship between event owner and their audiences: what can we expect form AI, E-wallets and maybe even AR and Internet of Things; how (over) promising is blockchain technology for more transparency in the ticketing business?
Paylogic is a ticketing company with a tech DNA and it has over the last 10 years disrupted traditional ticketing in two ways; firstly by introducing print-at-home ticketing in the entertainment industry, and secondly - and more impactful - by successfully liberating the organizers; offering them “white-label”, “do-it-yourself" ticketing in The Netherlands later many other markets. They offer their services for all sorts of events, varying from Tomorrowland and Sensation (ID&T) to large conference halls, and also Electric Zoo and Mysteryland in the USA.
moderator: Mir Wermuth | iMMovator