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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.

            Content

            Author and article information

            Conference
            July 2015
            July 2015
            : 126-127
            Affiliations
            [0001]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
            9b228d27-5ce9-408f-b5cf-89bd7100dd6d
            © 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
            History
            Product

            1477-9358 BCS Learning & Development

            Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/eva2015.61
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

            Applied computer science,Computer science,Security & Cryptology,Graphics & Multimedia design,General computer science,Human-computer-interaction

            REFERENCES

            1. 2002 Music similarity measures: What’s the use? ISMIR

            2. 2005 A Robust Mid-Level Representation for Harmonic Content in Music Signals ISMIR 5 304 311

            3. n.d Aubio, a Library for Audio Labelling http://aubio.org 12 March 2015

            4. 2011 VamPy: Vamp Plugins in Python, http://www.vampplugins.org/vampy.html 12 March 2015

            5. 2003 Music Information Retrieval Annual Review of Information Science and Technology 37 1 295 340

            6. 2006 PyAudio: PortAudio v19 Python Bindings http://people.csail.mit.edu/hubert/pyaudio/ 12 March 2015

            7. 2009 On Rhythm and General Music Similarity ISMIR 525 530

            8. 2011 jiaaro/pydub @ GitHub http://pydub.com 12 March 2015

            9. 2003 Pitch Histograms in Audio and Symbolic Music Information Retrieval Journal of New Music Research 32 2 143 152

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