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260 * !
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Tue, 8/4/2020,
1:00 PM -
2:50 PM
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Virtual
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Statistics and AI in Music — Topic Contributed Papers
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Royal Statistical Society, Section on Statistical Learning and Data Science, IMS
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Organizer(s): Jan Beran, University of Konstanz
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Chair(s): Philipp Sibbertsen, Leibniz Universitaet Hannover
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1:05 PM
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Understanding Audio from Music Practice Sessions
Christopher Raphael, Indiana University
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1:25 PM
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Visualizing Music Information: Classical Composers Networks and Similarities
Patrick Georges, University of Ottawa
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1:45 PM
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Statistics and AI in Music
Ahmed Elgammal, Artrendex / Rutgers University; Mark Gotham, Universität des Saarlandes / Cornell
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2:05 PM
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Fusing Audio and Semantic Technologies: Applying AI, Machine Learning and Data Science to Music Production and Consumption
Mark Sandler, Queen Mary University of London; Johan Pauwels, Queen Mary University of London; David De Roure, University of Oxford; Kevin Page, University of Oxford
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2:25 PM
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Discussant: Jan Beran, University of Konstanz
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2:45 PM
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Floor Discussion
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