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We present a semantic vector space model for capturing complex polyphonic musical context.
Learning representations by back-propagating errors
David E Rumelhart, Geoffrey E Hinton, and Ronald J Williams · 1988
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Multiple viewpoint systems for music prediction
Darrell Conklin and Ian H Witten · 1995
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Neo-riemannian operations, parsimonious trichords, and their” tonnetz” representations
Richard Cohn · 1997
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Multilingual document retrieval system and method using semantic vector matching, December 21 1999
Elizabeth D Liddy, Woojin Paik, S Yu Edmund, and Ming Li · 1999
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Comparison between language and music
Mireille Besson and Daniele Schön · 2001
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Finding temporal structure in music: Blues improvisation with lstm recurrent networks
Douglas Eck and Juergen Schmidhuber · 2002
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Hierarchical probabilistic neural network language model
Frederic Morin and Yoshua Bengio · 2005
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Introduction to Data Mining, (First Edition)
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Visualizing data using t-sne
Laurens van der Maaten and Geoffrey Hinton · 2008
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Learning features from music audio with deep belief networks
Philippe Hamel and Douglas Eck · 2010
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From frequency to meaning: Vector space models of semantics
Peter D Turney and Patrick Pantel · 2010
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Nicolas Boulanger-Lewandowski, Yoshua Bengio, and Pascal Vincent · 2012
Noise-contrastive estimation of unnormalized statistical models, with applications to natural image statistics
Michael U Gutmann and Aapo Hyvärinen · 2012
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word2vec explained: Deriving mikolov et al.’s negative-sampling word-embedding method
Yoav Goldberg and Omer Levy · 2014
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Long short-term memory recurrent neural network architectures for large scale acoustic modeling
Hasim Sak, Andrew W Senior, and Françoise Beaufays · 2014
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From distributional semantics to conceptual spaces: A novel computational method for concept creation
Stephen McGregor, Kat Agres, Matthew Purver, and Geraint A Wiggins · 2015
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Modeling metaphor perception with distributional semantics vector space models
Kat R Agres, Stephen McGregor, Karolina Rataj, Matthew Purver, and Geraint A Wiggins · 2016
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Efficient estimation of word representations in vector space
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean
Cited in the paper.
Exploiting similarities among languages for machine translation
Tomas Mikolov, Quoc V Le, and Ilya Sutskever
Cited in the paper.
Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean
Cited in the paper.
Chordripple: Recommending chords to help novice composers go beyond the ordinary
Cheng-Zhi Anna Huang, David Duvenaud, and Krzysztof Z Gajos · 2016
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