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Automatic Performer Identification in Celtic Violin Audio Recordings

Title Automatic Performer Identification in Celtic Violin Audio Recordings
Publication Type Journal Article
Year of Publication 2011
Authors Ramirez, R. , Maestre E. , Pérez A. , & Serra X.
Journal Title Journal of New Music Research
Volume 40
Issue 2
Pages 165-174
Journal Date 06/2011
Abstract We present a machine learning approach to the problem of identifying performers from their interpretative styles. In particular, we investigate how violinists express their view of the musical content in audio recordings and feed this information to a number of machine learning techniques in order to induce classifiers capable of identifying the interpreters. We apply sound analysis techniques based on spectral models for extracting expressive features such as pitch, timing, and amplitude representing both note characteristics and the musical context in which they appear. Our results indicate that the features extracted contain sufficient information to distinguish the considered performers, and the explored machine learning methods are capable of learning the expressive patterns that characterize each of the interpreters.
preprint/postprint document
Final publication