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Erschienen in:
Automatic Recognition of Sound Categories from Their Vocal Imitation Using Audio Primitives Automatically Found by SI-PLCA and HMM Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

Finding Drum Breaks in Digital Music Recordings

verfasst von : Patricio López-Serrano, Christian Dittmar, Meinard Müller

Erschienen in: Music Technology with Swing

Verlag: Springer International Publishing

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Abstract

DJs and producers of sample-based electronic dance music (EDM) use breakbeats as an essential building block and rhythmic foundation for their artistic work. The practice of reusing and resequencing sampled drum breaks critically influenced modern musical genres such as hip hop, drum’n’bass, and jungle. While EDM artists have primarily sourced drum breaks from funk, soul, and jazz recordings from the 1960s to 1980s, they can potentially be sampled from music of any genre. In this paper, we introduce and formalize the task of automatically finding suitable drum breaks in music recordings. By adapting an approach previously used for singing voice detection, we establish a first baseline for drum break detection. Besides a quantitative evaluation, we discuss benefits and limitations of our procedure by considering a number of challenging examples.

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Vorheriges Kapitel Groove on the Brain
Nächstes Kapitel Drum Rhythm Spaces: From Global Models to Style-Specific Maps
Fußnoten
1
A complete list of track titles, artists, and YouTube\(^\text {TM}\) identifiers is available at the accompanying website, along with annotations in plaintext. https://​www.​audiolabs-erlangen.​de/​resources/​MIR/​2017-CMMR-Breaks.
 
2
In [5, p. 247], the authors relate that “[Grand Wizard] Theodore could do something amazing: he could find the beginning of a break by eye and drop the needle right on it, with no need to spin the record back.”
 
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Metadaten
Titel
Finding Drum Breaks in Digital Music Recordings
verfasst von
Patricio López-Serrano
Christian Dittmar
Meinard Müller
Copyright-Jahr
2018
Buch
Music Technology with Swing

Print ISBN: 978-3-030-01691-3

Electronic ISBN: 978-3-030-01692-0

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-030-01692-0_8

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