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- W2272113119 abstract "We present an overview of machine learning (ML) techniquesand their application in interactive music and newdigital instrument design. We first provide the non-specialistreader an introduction to two ML tasks, classification andregression, that are particularly relevant for gestural interaction.We then present a review of the literature in currentNIME research that uses ML in musical gesture analysisand gestural sound control. We describe the ways in whichmachine learning is useful for creating expressive musical interaction,and in turn why live music performance presentsa pertinent and challenging use case for machine learning." @default.
- W2272113119 created "2016-06-24" @default.
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- W2272113119 date "2013-05-01" @default.
- W2272113119 modified "2023-10-12" @default.
- W2272113119 title "Machine Learning of Musical Gestures: Principles and Review" @default.
- W2272113119 hasPublicationYear "2013" @default.
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