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This story is from the category Artificial Intelligence
Date posted: 22/06/2009 An Austrian project has made the leap from research bench to shop shelf and is breathing musical intelligence into a digital audio system. This achievement has been made possible by a computer algorithm that is the first to enable the automatic creation of customised playlists directly in a hi-fi. The algorithm identifies specific musical characteristics such as rhythm and compares stored audio files for similarities. The know-how behind this system was developed some time ago with support from the FWF - and is now being used in a new music system from Bang & Olufsen. Endless musical enjoyment to your own individual taste and no need to create a playlist - it sounds like the music of the future. But it is not - a new computer algorithm has made all this possible here and now. The scientific know-how behind the development has been provided by Prof. Gerhard Widmer, Head of the Institute for Computational Perception at Johannes Kepler University Linz and Member of the Scientific Board of the Austrian Research Institute for Artificial Intelligence (OFAI) in Vienna. Several years ago, Prof. Widmer and his team realised that the rapid growth in the use of digital music files was producing a need for new computer methods. And one result of his research work is now available in all good music stores and is at the heart of the BeoSound 5 digital audio system from Bang & Olufsen - the MOTS computer algorithm. MOTS operates like a personal DJ and demonstrates impressive musical intelligence. The algorithm analyzes audio files, extracting "features" that it then uses to calculate the similarities between various pieces of music. Depending on the audio file selected, MOTS automatically searches out similar files and does its name justice - it tracks down More Of The Same. See the full Story via external site: www.physorg.com Most recent stories in this category (Artificial Intelligence): 18/04/2013: NASA's Plan to Advance Robotics by Robotically Capturing small Asteroid |
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