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2015
Springer

Musical similarity analysis based on chroma features and text retrieval methods

3 years 7 months ago
Musical similarity analysis based on chroma features and text retrieval methods
: At the present day the world wide web is full of music. Highly effective algorithms for music compression and high data storage has made it easy to access all kind of music easily. However, it is not possible to look for a similar piece of music or a sound as easily as to google for a similar kind of text. Music is filtered by its title or artist. Although musicians can publish their compositions in a second, they will only be found by high youtube ratings or by market basket analysis. Less known artists need much luck to get heard, although their music might just be what people want to hear. To approach this issue, we propose a new framework called MIRA (Music Information Retrieval Application) for analyzing audio files with existing Information Retrieval (IR) methods. Text retrieval has already yielded many highly efficient and generally accepted methods to assess the semantic distance of different text. We use these methods by translating music into equivalent audio words based...
David Englmeier, Nina Hubig, Sebastian Goebl, Chri
Added 17 Apr 2016
Updated 17 Apr 2016
Type Journal
Year 2015
Where BTW
Authors David Englmeier, Nina Hubig, Sebastian Goebl, Christian Böhm
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