Emotion Painting: Lyric, Affect, and Musical Relationships in a Large Lead-Sheet Corpus
Name
5889-19761-3-PB.pdf
Description
Published version
Size
1.12 MB
Format
Adobe PDF
Checksum (MD5)
062d54992ff9bdd6b363ee39ff939cff
Author(s)
Sun, Sophia H.
Cuthbert, Michael Scott
Date Issued
November 2017
Journal
Empirical Musicology Review
Publisher
The Ohio State University Libraries
Citation
Sun, Sophia H. and Michael Scott Cuthbert, "Emotion Painting: Lyric, Affect, and Musical Relationships in a Large Lead-Sheet Corpus." Empirical Musicology Review 12, 3-4 (2017): 327-348 ©2017 Authors
Version
Final published version
Abstract
How are lyrical emotions expressed in music? This paper explores the correlation between affect-carrying lyrics and musical features such as beat strength, duration, pitch height, consonance, and mode. Using computer-aided musicology software music21 and the NRC emotion lexicon, we conduct a corpus study on 1,895 folk and popular song lead-sheets encoded as MusicXML. The study reveals that metrical strength and note lengths are highly correlated with affects, while correlations of pitch height, consonance, and mode are in general less significant, at times contradicting previous research. Measurements of minor vs. major chordal context and tonal certainty, however, reveal certain previously unknown differences among emotional states. The paper uses a larger dataset of observations and gives greater values of significance than has appeared in symbolic corpus analysis of emotions in the past, and includes general discussions and directions for future work.
MIT Department
Massachusetts Institute of Technology. Music and Theater Arts Section
Terms of Use
Creative Commons Attribution NonCommercial License 4.0
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.18061/EMR.V12I3-4.5889
