@InProceedings{    wei.ea2018-computational,
    author       = {Wei{\ss}, Christof and Balke, Stefan and Abe{\ss}er,
                   Jakob and M{\"{u}}ller, Meinard},
    year         = {2018},
    title        = {Computational Corpus Analysis: a Case Study on Jazz
                   Solos},
    abstract     = {For musicological studies on large corpora, the
                   compilation of suitable data constitutes a time-consuming
                   step. In particular, this is true for high-quality
                   symbolic representations that are generated manually in a
                   tedious process. A recent study on Western classical music
                   has shown that musical phenomena such as the evolution of
                   tonal complexity over history can also be analyzed on the
                   basis of audio recordings. As our first contribution, we
                   transfer this corpus analysis method to jazz music using
                   the Weimar Jazz Database, which contains high-level
                   symbolic transcriptions of jazz solos along with the audio
                   recordings. Second, we investigate the influence of the
                   input representation type on the corpus-level
                   observations. In our experiments , all representation
                   types led to qualitatively similar results. We conclude
                   that audio recordings can build a reasonable basis for
                   conducting such type of corpus analysis.},
    address      = {Paris},
    booktitle    = {Proceedings of the 19th International Society for Music
                   Information Retrieval},
    keywords     = {music analysis with computers},
    mendeley-tags= {music analysis with computers},
    number       = {October},
    url          = {http://ismir2018.ircam.fr/doc/pdfs/23_Paper.pdf}
}

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