THE CHANGING SOUND OF MUSIC: AN EXPLORATORY CORPUS STUDY OF VOCAL TRENDS OVER TIME

Elena Georgieva, Pablo Ripollés, Brian McFee

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Recent advancements in audio processing provide a new opportunity to study musical trends using quantitative methods. While past work has investigated trends in music over time, there has been no large-scale study on the evolution of vocal lines. In this work, we conduct an exploratory study of 145,912 vocal tracks of popular songs spanning 55 years, from 1955 to 2010. We use source separation to extract the vocal stem and fundamental frequency (f0) estimation to analyze pitch tracks. Additionally, we extract pitch characteristics including mean pitch, total variation, and pitch class entropy of each song. We conduct statistical analysis of vocal pitch across years and genres, and report significant trends in our metrics over time, as well as significant differences in trends between genres. Our study demonstrates the utility of this method for studying vocals, contributes to the understanding of vocal trends, and showcases the potential of quantitative approaches in musicology.

Original languageEnglish (US)
Title of host publicationProceedings of the International Society for Music Information Retrieval Conference
PublisherInternational Society for Music Information Retrieval
Pages232-239
Number of pages8
StatePublished - 2024

Publication series

NameProceedings of the International Society for Music Information Retrieval Conference
Volume2024
ISSN (Electronic)3006-3094

ASJC Scopus subject areas

  • Music
  • Artificial Intelligence
  • Human-Computer Interaction
  • Signal Processing

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