Musical Deep Learning: Stylistic Melodic Generation with Complexity Based Similarity

The wide-ranging impact of deep learning models implies significant application in music analysis, retrieval, and generation. Initial findings from musical application of a conditional restricted Boltzmann machine (CRBM) show promise towards informing creative computation. Taking advantage of the CR...

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Bibliographic Details
Main Author: Smith, Benjamin D.
Other Authors: Music and Arts Technology, School of Engineering and Technology
Format: Conference proceedings
Language:English
Published: 2018
Online Access:http://hdl.handle.net/1805/14982
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