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pro vyhledávání: '"Dinculescu, Monica"'
Autor:
Huang, Cheng-Zhi Anna, Koops, Hendrik Vincent, Newton-Rex, Ed, Dinculescu, Monica, Cai, Carrie J.
Publikováno v:
ISMIR 2020
Machine learning is challenging the way we make music. Although research in deep generative models has dramatically improved the capability and fluency of music models, recent work has shown that it can be challenging for humans to partner with this
Externí odkaz:
http://arxiv.org/abs/2010.05388
We consider the problem of learning high-level controls over the global structure of generated sequences, particularly in the context of symbolic music generation with complex language models. In this work, we present the Transformer autoencoder, whi
Externí odkaz:
http://arxiv.org/abs/1912.05537
Autor:
Huang, Cheng-Zhi Anna, Hawthorne, Curtis, Roberts, Adam, Dinculescu, Monica, Wexler, James, Hong, Leon, Howcroft, Jacob
To make music composition more approachable, we designed the first AI-powered Google Doodle, the Bach Doodle, where users can create their own melody and have it harmonized by a machine learning model Coconet (Huang et al., 2017) in the style of Bach
Externí odkaz:
http://arxiv.org/abs/1907.06637
Autor:
Huang, Cheng-Zhi Anna, Vaswani, Ashish, Uszkoreit, Jakob, Shazeer, Noam, Simon, Ian, Hawthorne, Curtis, Dai, Andrew M., Hoffman, Matthew D., Dinculescu, Monica, Eck, Douglas
Music relies heavily on repetition to build structure and meaning. Self-reference occurs on multiple timescales, from motifs to phrases to reusing of entire sections of music, such as in pieces with ABA structure. The Transformer (Vaswani et al., 201
Externí odkaz:
http://arxiv.org/abs/1809.04281
Autor:
Dinculescu, Monica
Written for the School of Computer Science. Title from title page of PDF (viewed 2010/06/16) Includes bibliographical references.
Autor:
Cheng-Zhi Anna Huang, Koops, Hendrik Vincent, Newton-Rex, Ed, Dinculescu, Monica, Cai, Carrie J.
Publikováno v:
International Society for Music Information Retrieval Conference Proceedings; 2020, p708-716, 9p
Publikováno v:
Logic, Language & Computation (9783642369759); 2013, p206-230, 25p