Investigating Time-Line-Based Music Traditions With Field Recordings: A Case Study of Candomblé Bell Patterns

We introduce a series of transdisciplinary corpus studies aimed at investigating cross-cultural trends in time-line-based music traditions. Our analyses concentrate on a compilation of field recordings from the Centre de Recherche en Ethnomusicologie (CREM) sound archive. To demonstrate the value of an interdisciplinary approach combining ethnomusicology and music information research to rhythmic analysis, we propose a case study on the bell patterns used in the musical practices of Candomblé, an Afro-Brazilian religion. After removing vocals from the recordings with a deep learning source separation technique, we further process the instrumental segments using non-negative matrix factorization and select the bell components. Then, we compute a tempo-agnostic rhythmic feature from the bell track and use it to cluster the data. Finally, we use synthesized patterns from the musicological literature about Candomblé as references to propagate labels to the rhythmic clusters in our data. This semi-supervised approach to pattern analysis precludes the need for downbeat and cycle annotations, making it particularly suited for extensive archive investigations. Lastly, by comparing bell patterns in Candomblé and a West African music tradition, we lay the foundation for our future crosscultural research and observe the potential application of this methodology to other time-line-based music.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-10
DOI
https://doi.org/10.5281/zenodo.14877522
Primary Topic
Diverse Musicological Studies
Type
article
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article

Investigating Time-Line-Based Music Traditions With Field Recordings: A Case Study of Candomblé Bell Patterns

Zenodo (CERN European Organization for Nuclear Research)
Diverse Musicological Studies
article

Investigating Time-Line-Based Music Traditions With Field Recordings: A Case Study of Candomblé Bell Patterns

article en

Abstract

We introduce a series of transdisciplinary corpus studies aimed at investigating cross-cultural trends in time-line-based music traditions. Our analyses concentrate on a compilation of field recordings from the Centre de Recherche en Ethnomusicologie (CREM) sound archive. To demonstrate the value of an interdisciplinary approach combining ethnomusicology and music information research to rhythmic analysis, we propose a case study on the bell patterns used in the musical practices of Candomblé, an Afro-Brazilian religion. After removing vocals from the recordings with a deep learning source separation technique, we further process the instrumental segments using non-negative matrix factorization and select the bell components. Then, we compute a tempo-agnostic rhythmic feature from the bell track and use it to cluster the data. Finally, we use synthesized patterns from the musicological literature about Candomblé as references to propagate labels to the rhythmic clusters in our data. This semi-supervised approach to pattern analysis precludes the need for downbeat and cycle annotations, making it particularly suited for extensive archive investigations. Lastly, by comparing bell patterns in Candomblé and a West African music tradition, we lay the foundation for our future crosscultural research and observe the potential application of this methodology to other time-line-based music.

Zenodo (CERN European Organization for Nuclear Research)
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Openalex Percentile: Top 40%
Diverse Musicological Studies
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