Finding Music With Pictures: Data Visualisation for Discovery
With so much music available, finding new music that you like can be like finding a needle in a haystack. We need new tools to help us to explore the world of music, tools that can help us separate the wheat from the chaff. In this panel we will look at how visualizations can be used to help people explore the music space and discover new, interesting music that they will like. We will look at a wide range of visualizations, from hand drawn artist maps, to highly interactive, immersive 3D environments. We'll explore a number of different visualization techniques including graphs, trees, maps, timelines and flow diagrams and we'll examine different types of music data that can contribute to a visualization. Using numerous examples drawn from commercial and research systems we'll show how visualizations are being used now to enhance music discovery and we'll demonstrate some new visualization techniques coming out of the labs that we'll find in tomorrow's music discovery applications.
- Another brilliant session hosted by Paul Lamere, the man behind musicmachinery.com, a site you get lost in for hours and hours.
- Paul kicked off with some amazing stats that explain why visualising music for discovery is so importance. The tools for creating music have increased as the barriers for publishing have been removed which means there is an abundance of music. In a study of study of 5000 listeners he discovered they had 35,000 tracks of which 65% of them had not been listened to once. People don’t know how to find their way through the collections..
- Paul talked about the different kinds of visualisations, such as hand created, computer generated, interactive etc. You can see some of the sites he demoed below and get more more from the deck of slides he used in his presentation at the bottom of the page.
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