Insights into the Nature of Drum Machine Sounds

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dc.contributor.authorShier, Jordie
dc.date.accessioned2017-04-10T17:46:50Z
dc.date.available2017-04-10T17:46:50Z
dc.date.copyright2017en_US
dc.date.issued2017-04-10
dc.description.abstractSince the early 1970s programmable drum machines have been used extensively in the creation and performance of popular music. Recordings of individual drum sounds from these drum machines are widely available online and the use of such audio is common practice in music production. This work seeks to shed light on the sonic qualities of drum machine sounds using a sample set of 2026 kick and 2204 snare drums representing over 200 different drum machines. A set of audio feature extraction algorithms from the field of Music Information Retrieval (MIR) is used to create a feature vector describing each sample. The primary components of variation found are Spectral Centroid and Loudness for both kick and snare drums. This is introductory work in the analysis of drum machine samples and the results may prove useful for future work in the field of Intelligent Music Production (IMP) as well as in the development of music production pedagogical methods.en_US
dc.description.reviewstatusRevieweden_US
dc.description.scholarlevelUndergraduateen_US
dc.description.sponsorshipJamie Cassels Undergraduate Research Awarden_US
dc.identifier.urihttp://hdl.handle.net/1828/7905
dc.language.isoenen_US
dc.subjectdrum machine
dc.subjectmusic production
dc.subjectcomputer science
dc.subjectmusic information retrieval
dc.subjectintelligent music production
dc.subject.departmentDepartment of Computer Science
dc.subject.departmentSchool of Music
dc.titleInsights into the Nature of Drum Machine Soundsen_US
dc.typePosteren_US

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