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See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/321487177 Clave patterns in Uruguayan Candombe drumming Poster · July 2017 DOI: 10.13140/RG.2.2.16869.50407 CITATIONS 0 READS 2 2 authors: Some of the authors of this publication are also working on these related projects: Analysis of Uruguayan Candombe drumming View project Singing voice detection and separation View project Luis Jure Universidad de la República de Uruguay 8 PUBLICATIONS 10 CITATIONS SEE PROFILE Martín Rocamora Universidad de la República de Uruguay 20 PUBLICATIONS 94 CITATIONS SEE PROFILE All content following this page was uploaded by Luis Jure on 04 December 2017. The user has requested enhancement of the downloaded file.

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Seediscussions,stats,andauthorprofilesforthispublicationat:https://www.researchgate.net/publication/321487177

ClavepatternsinUruguayanCandombedrumming

Poster·July2017

DOI:10.13140/RG.2.2.16869.50407

CITATIONS

0

READS

2

2authors:

Someoftheauthorsofthispublicationarealsoworkingontheserelatedprojects:

AnalysisofUruguayanCandombedrummingViewproject

SingingvoicedetectionandseparationViewproject

LuisJure

UniversidaddelaRepúblicadeUruguay

8PUBLICATIONS10CITATIONS

SEEPROFILE

MartínRocamora

UniversidaddelaRepúblicadeUruguay

20PUBLICATIONS94CITATIONS

SEEPROFILE

AllcontentfollowingthispagewasuploadedbyLuisJureon04December2017.

Theuserhasrequestedenhancementofthedownloadedfile.

Clave patterns in Uruguayan Candombe drummingLuis Jure, Martın Rocamora Universidad de la Republica, Uruguay

SummaryUruguayan Candombe drumming has deep African roots, and like other musicsof the Afro–Atlantic world, its rhythm is timeline–based. The timeline patternof Candombe, called madera, has many traits in common with similar patternsin Afro–American music, like the son clave. It presents, however, significantdifferences with the more common uses of timeline patterns in other musics ofthe same tradition. For instance, instead of a single timeline pattern as in otherAfro–Latin–American musics, the madera pattern allows for different variants.In this paper, Music Information Retrieval techniques are applied to a dataset ofCandombe recordings in order to analyse the characteristics of the madera pattern,and group and classify its most recurrent variations.

Uruguayan Candombe drummingLlamada de tambores�drum call parade� groups of ca. 20 to 60 players� three types of drum: chico, repique, piano

Fig. Group of Candombe drummers (cuerda detambores) during a llamada de tambores.

Rhythmic structure� 4–beat cycle, 16 pulses� chico: high pitch, timekeeper� repique: medium pitch, improviser� piano: low pitch, rhythmic cycle

Fig. Simplified primary patterns of the threedrums and madera with metric structure

Detection of madera pattern sections�proportion of onsets classified as madera within each rhythm cycle� threshold computed using Otsu’s method for a two-state classification� hysteresis post-processing to avoid some spurious transitions

Fig. Detection of madera pattern sections for two repiques playing simultaneously

Madera patternThe madera (or clave) pattern is produced by hitting the wooden shell of the drumwith the stick. Played by all the drums as an introduction to and preparation forthe rhythm; during the llamada only by the repique drum in between phrases.

Dataset� 14 complete performances (45 mins)�multitrack audio recordings in studio� ensembles of three to five players�five different renowned players� rhythm cycles manually labeled

(i.e. beat and downbeat annotations)� ca. 500 cycles are madera patterns

Audio feature extractionSpectral features used for both onset detection and madera sound classification.

Spectral flux (SF)� Short-Time Fourier Transform�mapped to MEL scale bands�first-order difference� half-wave rectified

Onset detection� SF summed along all sub-bands�fixed and adaptive thresholds

Sound classification�first 40 MEL bands (< 1500 Hz)� SVM trained on isolated sounds

Analysis of madera cycles in a recording� feature signal is time quantized to the 16 rhythm subdivisions� a map of the feature vectors of each rhythm cycle is computed� the detected madera patterns are clustered and aurally checked

Fig. Analysis of madera patterns in a single recordings. The feature map of the recording (below),the centroid of each cluster (top-right) and a 3D Isomap representation of patterns (top-left).

Dataset analysisAll the cycles with madera pattern in the datasetordered by cluster, with transcription in musicnotation. There are four main groups, two ofwhich can be subdivided in two variations.

http://iie.fing.edu.uy/investigacion/grupos/gpa/ Audio Processing Group [email protected] publication statsView publication stats