F0 ANALYSIS OF GHANAIAN POP SINGING REVEALS PROGRESSIVE ALIGNMENT WITH EQUAL TEMPERAMENT OVER THE PAST THREE DECADES: A CASE STUDY

Iran R. Roman, Daniel Faronbi, Isabelle Burger-Weiser, Leila Adu-Gilmore

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Contemporary Ghanaian popular singing combines European and traditional Ghanaian influences. We hypothesize that access to technology embedded with equal temperament catalyzed a progressive alignment of Ghanaian singing with equal-tempered scales over time. To test this, we study the Ghanaian singer Daddy Lumba, whose work spans from the earliest Ghanaian electronic style in the late 1980s to the present. Studying a singular musician as a case study allows us to refine our analysis without over-interpreting the findings. We curated a collection of his songs, distributed between 1989 and 2016, to extract F0 values from isolated vocals. We used Gaussian mixture modeling (GMM) to approximate each song’s scale and found that the pitch variance has been decreasing over time. We also determined whether the GMM components follow the arithmetic relationships observed in equal-tempered scales, and observed that Daddy Lumba’s singing better aligns with equal temperament in recent years. Together, results reveal the impact of exposure to equal-tempered scales, resulting in lessened microtonal content in Daddy Lumba’s singing. Our study highlights a potential vulnerability of Ghanaian musical scales and implies a need for research that maps and archives singing styles.

Original languageEnglish (US)
Title of host publicationSMC 2023 - Proceedings of the Sound and Music Computing Conference 2023
EditorsRoberto Bresin, Kjetil Falkenberg
PublisherSound and music Computing network
Pages27-33
Number of pages7
ISBN (Electronic)9789152773727
StatePublished - 2023
Event20th Sound and Music Computing Conference, SMC 2023 - Hybrid, Stockholm, Sweden
Duration: Jun 15 2023Jun 17 2023

Publication series

NameProceedings of the Sound and Music Computing Conferences
Volume2023-June
ISSN (Electronic)2518-3672

Conference

Conference20th Sound and Music Computing Conference, SMC 2023
Country/TerritorySweden
CityHybrid, Stockholm
Period6/15/236/17/23

ASJC Scopus subject areas

  • Music
  • Computer Science Applications
  • Media Technology

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