MCFlow: A Digital Corpus of Rap Transcriptions

Nathaniel Condit-Schultz

Abstract


This paper describes a new digital corpus of rap transcriptions known as the Musical Corpus of Flow (MCFlow). MCFlow currently contains transcriptions of verses from 124 popular rap songs, performed by 86 different rappers, containing a total of 374 verses, and consisting of 5,803 measures of music. MCFlow transcriptions contain rhythmic information, encoded in musical durations, as well as prosodic information, syntactic information, and phonetic information, including the identification of rhymes. In the second part of the paper, preliminary analyses of the corpus are presented, describing the "norms" of several important features of rap deliveries. These features include speed, rhyme density, metric position of stressed syllables, metric position of rhymes, phrase length, and the metric position of phrases. Several historical trends are identified, including an increase in rhyme density and phrase variability between 1980 and 2000. In each analysis, variance between different performers is compared to variance between songs. It is found that there is generally more variability between songs than between performers.


Full Text:

PDF HTML


DOI: http://dx.doi.org/10.18061/emr.v11i2.4961

Refbacks

  • There are currently no refbacks.


Copyright (c) 2017 Nathaniel Condit-Schultz

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

 


Beginning with Volume 7, No 3-4 (2012), Empirical Musicology Review is published under a Creative Commons Attribution-NonCommercial license

Empirical Musicology Review is published by the Ohio State University Libraries. If you encounter problems with the site or have comments to offer, including any access difficulty due to incompatibility with adaptive technology, please contact the web manager, Maureen Walsh.

ISSN: 1559-5749