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    Infinite Remix Machine: Automatic Analysis and Arrangement of Musical Recordings

    Electronic Visualisation and the Arts (EVA 2015)

    London, UK, 7 - 9 July 2015

    AUTHORS

    Ryan Kirkbride and Kia Ng

    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.

    PAPER FORMATS

    PDF file PDF Version of this Paper 154(kb)