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      Infinite Remix Machine: Automatic Analysis and Arrangement of Musical Recordings

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      Electronic Visualisation and the Arts (EVA 2015) (EVA)

      Electronic Visualisation and the Arts

      7 & 9 July 2015

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          Abstract

          We live in a world where music can be remixed and re-imagined with a few simple button clicks, but at what point can this process stop requiring human input totally and work in an algorithmic fashion to explore machine creativity? The aim of this research is to investigate whether a machine can automatically analyse music and use the data to effectively combine it with other music to create a previously unheard piece.

          Using freely available music and sound data, from http://www.freemusicarchive.org and http://www.freesound.org respectively, we are utilising a range of music information retrieval techniques (Bello & Pickens 2005, Aucouturier & Pachet 2002, Pohle et al. 2009) to analyse the data (including tempo, harmonic information, and others), and to design a set of context-aware algorithms to support automatic selection of relevant “segments” of music, and different approaches to remix the selected segments to create a completely new piece.

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          Most cited references 8

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          Music information retrieval

           J. Downie (2003)
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            • Record: found
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            Pitch Histograms in Audio and Symbolic Music Information Retrieval

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              A Robust Mid-Level Representation for Harmonic Content in Music Signals

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                Author and article information

                Conference
                July 2015
                July 2015
                : 126-127
                Affiliations
                Interdisciplinary Centre for Scientific Research in Music (ICSRiM)

                University of Leeds

                School of Music and School of Computing

                Leeds LS2 9JT, UK

                remix@icsrim.org.uk, www.icsrim.leeds.ac.uk
                Article
                10.14236/ewic/eva2015.61
                © Ryan Kirkbride et al. Published by BCS Learning and Development Ltd. Proceedings of EVA London 2015, UK

                This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                Electronic Visualisation and the Arts (EVA 2015)
                EVA
                London, UK
                7 & 9 July 2015
                Electronic Workshops in Computing (eWiC)
                Electronic Visualisation and the Arts

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