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    Microsoft Research

    Data-driven exploration of musical chord sequences

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    We present data-driven methods for supporting musical creativity by capturing the statistics of a musical database. Specifically, we introduce a system that supports users in exploring the high-dimensional space of musical chord sequences by parameterizing the variation among chord sequences in popular music. We provide a novel user interface that exposes these learned parameters as control axes, and we propose two automatic approaches for defining these axes. One approach is based on a novel clustering procedure, the other on principal components analysis. A user study compares our approaches for defining control axes both to each other and to an approach based on manually-assigned genre labels. Results show that our automatic methods for defining control axes provide a subjectively better user experience than axes based on manual genre labeling.

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    Description

    Title : Data-driven exploration of musical chord sequences
    Author(s) : Eric Nichols, Dan Morris, Sumit Basu
    Abstract : We present data-driven methods for supporting musical creativity by capturing the statistics of a musical database. Specifically, we introduce a system that supports users in exploring the high-dimensional space of musical chord sequences by parameterizing the variation among chord sequences in popular music. We provide a novel user interface that exposes these learned parameters as control axes, and we propose two automatic approaches for defining these axes. One approach is based on a novel clustering procedure, the other on principal components analysis. A user study compares our approaches for defining control axes both to each other and to an approach based on manually-assigned genre labels. Results show that our automatic methods for defining control axes provide a subjectively better user experience than axes based on manual genre labeling.
    Subject : unspecified
    Area : Other
    Language : English
    Year : 2008

    Affiliations Microsoft Research
    Journal : Proceedingsc of the 13th international conference on Intelligent
    Publisher : ACM Press
    Pages : 227
    Url : http://portal.acm.org/citation.cfm?doid=1502650.1502683
    Doi : 10.1145/1502650.1502683

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    Dan's Peer Evaluation activity

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    • Habiba Hassan Wassef, Senior professional, Independent international expert, United Nations, WHO, National Coordinator for the 7th European Framework Research Programme, National Research Center in Cairo, Egypt.

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