@Article{          white.ea2016-yale-classical,
    author       = {White, Christopher William and Quinn, Ian},
    year         = {2016},
    title        = {The Yale-Classical Archives Corpus},
    abstract     = {The Yale-Classical Archives Corpus (YCAC) contains
                   harmonic and rhythmic information for a dataset of Western
                   European Classical art music. This corpus is based on data
                   from classicalarchives.com, a repository of thousands of
                   user-generated MIDI representations of pieces from several
                   periods of Western European music history. The YCAC makes
                   available metadata for each MIDI file, as well as a list
                   of pitch simultaneities ("salami slices") in the MIDI
                   file. Metadata include the piece's composer, the
                   composer's country of origin, date of composition, genre
                   (e.g., symphony, piano sonata, nocturne, etc.),
                   instrumentation, meter, and key. The processing step
                   groups the file's pitches into vertical slices each time a
                   pitch is added or subtracted from the texture, recording
                   the slice's offset (measured in the number of quarter
                   notes separating the event from the file's beginning),
                   highest pitch, lowest pitch, prime form, scale-degrees in
                   relation to the global key (as determined by experts), and
                   local key information (as determined by a windowed
                   key-profile analysis). The corpus contains 13,769 MIDI
                   files by 571 composers yielding over 14,051,144 vertical
                   slices. This paper outlines several properties of this
                   corpus, along with a representative study using this
                   dataset.},
    doi          = {10.18061/emr.v11i1.4958},
    issn         = {1559-5749},
    journal      = {Empirical Musicology Review},
    keywords     = {academic inquiry,allowing scholars to quantify,amounts
                   of,as the fields of,c omputational analysis of,common
                   practice,corpus analysis,evidence,experiment with such
                   methods,historical trends and bolster,intuitive
                   observations with large,large data sets has,machine
                   learning,music,music theory and musicology,style,there
                   arises a need,tonality,transformed many aspects of},
    mendeley-tags= {music},
    number       = {1},
    pages        = {50},
    url          = {http://emusicology.org/article/view/4958/4397},
    volume       = {11}
}

{"_id":"F74NWZufsFbrs4wD5","bibbaseid":"white-quinn-theyaleclassicalarchivescorpus-2016","authorIDs":[],"author_short":["White, C. W.","Quinn, I."],"bibdata":{"bibtype":"article","type":"article","author":[{"propositions":[],"lastnames":["White"],"firstnames":["Christopher","William"],"suffixes":[]},{"propositions":[],"lastnames":["Quinn"],"firstnames":["Ian"],"suffixes":[]}],"year":"2016","title":"The Yale-Classical Archives Corpus","abstract":"The Yale-Classical Archives Corpus (YCAC) contains harmonic and rhythmic information for a dataset of Western European Classical art music. This corpus is based on data from classicalarchives.com, a repository of thousands of user-generated MIDI representations of pieces from several periods of Western European music history. The YCAC makes available metadata for each MIDI file, as well as a list of pitch simultaneities (\"salami slices\") in the MIDI file. Metadata include the piece's composer, the composer's country of origin, date of composition, genre (e.g., symphony, piano sonata, nocturne, etc.), instrumentation, meter, and key. The processing step groups the file's pitches into vertical slices each time a pitch is added or subtracted from the texture, recording the slice's offset (measured in the number of quarter notes separating the event from the file's beginning), highest pitch, lowest pitch, prime form, scale-degrees in relation to the global key (as determined by experts), and local key information (as determined by a windowed key-profile analysis). The corpus contains 13,769 MIDI files by 571 composers yielding over 14,051,144 vertical slices. This paper outlines several properties of this corpus, along with a representative study using this dataset.","doi":"10.18061/emr.v11i1.4958","issn":"1559-5749","journal":"Empirical Musicology Review","keywords":"academic inquiry,allowing scholars to quantify,amounts of,as the fields of,c omputational analysis of,common practice,corpus analysis,evidence,experiment with such methods,historical trends and bolster,intuitive observations with large,large data sets has,machine learning,music,music theory and musicology,style,there arises a need,tonality,transformed many aspects of","mendeley-tags":"music","number":"1","pages":"50","url":"http://emusicology.org/article/view/4958/4397","volume":"11","bibtex":"@Article{ white.ea2016-yale-classical,\n author = {White, Christopher William and Quinn, Ian},\n year = {2016},\n title = {The Yale-Classical Archives Corpus},\n abstract = {The Yale-Classical Archives Corpus (YCAC) contains\n harmonic and rhythmic information for a dataset of Western\n European Classical art music. This corpus is based on data\n from classicalarchives.com, a repository of thousands of\n user-generated MIDI representations of pieces from several\n periods of Western European music history. The YCAC makes\n available metadata for each MIDI file, as well as a list\n of pitch simultaneities (\"salami slices\") in the MIDI\n file. Metadata include the piece's composer, the\n composer's country of origin, date of composition, genre\n (e.g., symphony, piano sonata, nocturne, etc.),\n instrumentation, meter, and key. The processing step\n groups the file's pitches into vertical slices each time a\n pitch is added or subtracted from the texture, recording\n the slice's offset (measured in the number of quarter\n notes separating the event from the file's beginning),\n highest pitch, lowest pitch, prime form, scale-degrees in\n relation to the global key (as determined by experts), and\n local key information (as determined by a windowed\n key-profile analysis). The corpus contains 13,769 MIDI\n files by 571 composers yielding over 14,051,144 vertical\n slices. This paper outlines several properties of this\n corpus, along with a representative study using this\n dataset.},\n doi = {10.18061/emr.v11i1.4958},\n issn = {1559-5749},\n journal = {Empirical Musicology Review},\n keywords = {academic inquiry,allowing scholars to quantify,amounts\n of,as the fields of,c omputational analysis of,common\n practice,corpus analysis,evidence,experiment with such\n methods,historical trends and bolster,intuitive\n observations with large,large data sets has,machine\n learning,music,music theory and musicology,style,there\n arises a need,tonality,transformed many aspects of},\n mendeley-tags= {music},\n number = {1},\n pages = {50},\n url = {http://emusicology.org/article/view/4958/4397},\n volume = {11}\n}\n\n","author_short":["White, C. 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